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INTRODUCTION TO LOGIC Lecture 3 Formalisation in Propositional Logic Dr. James Studd There is no other way to learn the truth than through logic Averroes

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Page 1: INTRODUCTION TO LOGIC Lecture3 Formalisation in

INTRODUCTION TO LOGIC

Lecture 3Formalisation in

Propositional Logic

Dr. James Studd

There is no other way to learn the truththan through logic

Averroes

Page 2: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Introduction

Outline1 Truth-functionality2 Formalisation3 Complex sentences4 Ambiguity5 Validity of English arguments

Page 3: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

English connectivesRecall that connectives join one or more sentences togetherto make compound sentences.

English connectives‘It is not the case that’‘and’‘or’‘if, . . . then’‘if and only if’

‘It is not the case that’ and ‘Bertrand Russell likes logic’make ‘It is not the case that Bertrand Russell likes logic’

These correspond to the connectives of L1: ¬, ∧, ∨, →, ↔

Page 4: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

English connectivesRecall that connectives join one or more sentences togetherto make compound sentences.

English connectives‘It is not the case that’‘and’‘or’‘if, . . . then’‘if and only if’

‘It is not the case that’ and ‘Bertrand Russell likes logic’make ‘It is not the case that Bertrand Russell likes logic’

These correspond to the connectives of L1: ¬, ∧, ∨, →, ↔

Page 5: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

English connectivesRecall that connectives join one or more sentences togetherto make compound sentences.

English connectives‘It is not the case that’‘and’‘or’‘if, . . . then’‘if and only if’

‘It is not the case that’ and ‘Bertrand Russell likes logic’make ‘It is not the case that Bertrand Russell likes logic’

These correspond to the connectives of L1: ¬, ∧, ∨, →, ↔

Page 6: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

English connectivesRecall that connectives join one or more sentences togetherto make compound sentences.

English connectives‘It is not the case that’‘and’‘or’‘if, . . . then’‘if and only if’

‘It is not the case that’ and ‘Bertrand Russell likes logic’make ‘It is not the case that Bertrand Russell likes logic’

These correspond to the connectives of L1: ¬, ∧, ∨, →, ↔

Page 7: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

But English also contains other connectives.

More English connectives‘It could be the case that’‘It must be the case that’‘Pope Benedict XVI thought that’‘because’‘logically entails that’

‘Pope Benedict XVI thought that’ and ‘Bertrand Russelllikes logic’ make ‘Pope Benedict XVI thought that BertrandRussell likes logic’

Only some English connectives can be captured in L1.None of these connectives can be.

Page 8: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

But English also contains other connectives.

More English connectives‘It could be the case that’‘It must be the case that’‘Pope Benedict XVI thought that’‘because’‘logically entails that’

‘Pope Benedict XVI thought that’ and ‘Bertrand Russelllikes logic’ make ‘Pope Benedict XVI thought that BertrandRussell likes logic’

Only some English connectives can be captured in L1.None of these connectives can be.

Page 9: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

But English also contains other connectives.

More English connectives‘It could be the case that’‘It must be the case that’‘Pope Benedict XVI thought that’‘because’‘logically entails that’

‘Pope Benedict XVI thought that’ and ‘Bertrand Russelllikes logic’ make ‘Pope Benedict XVI thought that BertrandRussell likes logic’

Only some English connectives can be captured in L1.None of these connectives can be.

Page 10: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

But English also contains other connectives.

More English connectives‘It could be the case that’‘It must be the case that’‘Pope Benedict XVI thought that’‘because’‘logically entails that’

‘Pope Benedict XVI thought that’ and ‘Bertrand Russelllikes logic’ make ‘Pope Benedict XVI thought that BertrandRussell likes logic’

Only some English connectives can be captured in L1.None of these connectives can be.

Page 11: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Truth functionalityOnly truth-functional connectives can be captured in L1.

Example: a truth-functional connectiveThe truth-value of ‘It is not the case that A’ is fullydetermined by the truth-value of A

A It is not the case that AT FF T

Page 12: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Truth functionalityOnly truth-functional connectives can be captured in L1.

Example: a truth-functional connectiveThe truth-value of ‘It is not the case that A’ is fullydetermined by the truth-value of A

A It is not the case that AT FF T

Page 13: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Truth functionalityOnly truth-functional connectives can be captured in L1.

Example: a truth-functional connectiveThe truth-value of ‘It is not the case that A’ is fullydetermined by the truth-value of A

A It is not the case that AT FF T

Page 14: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that A

T TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture.

F

A2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 15: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that A

T TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture.

F

A2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 16: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT

TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture.

F

A2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 17: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT T

F ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture.

F

A2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 18: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF

?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture.

F

A2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 19: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture.

F

A2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 20: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture.

F

A2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 21: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture. FA2 Two plus two equals five.

F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 22: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture. FA2 Two plus two equals five. F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 23: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture. FA2 Two plus two equals five. F

It is possibly the case that A1.

T

It is possibly the case that A2.

F

Page 24: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture. FA2 Two plus two equals five. F

It is possibly the case that A1. TIt is possibly the case that A2.

F

Page 25: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Example: a non-truth-functional connectiveThe truth-value of ‘It is possibly the case that A’ is notfully determined by the truth-value of A

A It is possibly the case that AT TF ?

Consider the false sentences A1 and A2

A1 V. Halbach is giving this lecture. FA2 Two plus two equals five. F

It is possibly the case that A1. TIt is possibly the case that A2. F

Page 26: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 27: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 28: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 29: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 30: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 31: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 32: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 33: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 34: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 35: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 36: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 37: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.1 Truth functionality

Characterisation: truth-functional (p. 54)A connective is truth-functional if and only if the truth-value ofthe compound sentence cannot be changed by replacing a directsubsentence with another having the same truth-value.

Connective︷ ︸︸ ︷It is not the case that

Direct subsentence︷ ︸︸ ︷it is possibly the case that 2 + 2 = 5︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

Direct subsentence︷ ︸︸ ︷It rains

Connective︷ ︸︸ ︷and

Direct subsentence︷ ︸︸ ︷sometimes it snows︸ ︷︷ ︸

Subsentence︸ ︷︷ ︸Compound Sentence

NB: replacing non-direct subsentences may change the truth-value.

Page 38: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

FormalisationThis is the process of translating English into L1.

Formalise:It is not the case that Russell likes logic. 20

¬ corresponds to ‘It is not the case that’.Let R correspond to ‘Russell likes logic’.

Formalisation¬R

DictionaryR: Russell likes logic.

Page 39: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

FormalisationThis is the process of translating English into L1.

Formalise:It is not the case that Russell likes logic. 20

¬ corresponds to ‘It is not the case that’.Let R correspond to ‘Russell likes logic’.

Formalisation¬R

DictionaryR: Russell likes logic.

Page 40: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

FormalisationThis is the process of translating English into L1.

Formalise:It is not the case that Russell likes logic. 20

¬ corresponds to ‘It is not the case that’.

Let R correspond to ‘Russell likes logic’.

Formalisation¬R

DictionaryR: Russell likes logic.

Page 41: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

FormalisationThis is the process of translating English into L1.

Formalise:It is not the case that Russell likes logic. 20

¬ corresponds to ‘It is not the case that’.Let R correspond to ‘Russell likes logic’.

Formalisation¬R

DictionaryR: Russell likes logic.

Page 42: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

FormalisationThis is the process of translating English into L1.

Formalise:It is not the case that Russell likes logic. 20

¬ corresponds to ‘It is not the case that’.Let R correspond to ‘Russell likes logic’.

Formalisation¬R

DictionaryR: Russell likes logic.

Page 43: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Formalise:Russell likes logic and philosophers like conceptual analysis.

Formalisation(R ∧ P )

DictionaryR: Russell likes logic.P : Philosophers like conceptual analysis.

Page 44: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Formalise:Russell likes logic and philosophers like conceptual analysis.

Formalisation(R ∧ P )

DictionaryR: Russell likes logic.P : Philosophers like conceptual analysis.

Page 45: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: CDictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬CDictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 46: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: CDictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬CDictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 47: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: C

Dictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬CDictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 48: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: CDictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬CDictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 49: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: CDictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬CDictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 50: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: CDictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬C

Dictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 51: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: CDictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬CDictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 52: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Only truth-functional connectives can be formalised in L1.

Formalise:It could be the case that Russell likes logic

Formalisation: CDictionary: C: It could be the case that Russell likes logic.

Formalise:It is not the case that it could be the case that Russell likes logic.

Formalisation: ¬CDictionary: C: It could be the case that Russell likes logic.

Note: it’s fine to use letters other than P,Q,R whenformalising English sentences.

Page 53: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 54: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 55: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.

Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 56: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬R

Dictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 57: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 58: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 59: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.

Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 60: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬W

Dictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 61: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes we need to paraphrase first.

Formalise:Russell doesn’t like logic

Paraphrase: It is not the case that Russell likes logic.Formalisation: ¬RDictionary: R: Russell likes logic.

Formalise:Neither Russell nor Whitehead likes logic.

Paraphrase: It is not the case that Russell likes logic and itis not the case that Whitehead likes logic.Formalisation: ¬R ∧ ¬WDictionary: R: Russell likes logic. W : Whitehead likes logic.

Page 62: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Common variantsHere are some of the most common variants of the standardconnectives.

L1 standard connective some other formulations∧ and but, although∨ or unless¬ it is not the case that not, none, never→ if . . . then provided that, only if↔ if and only if precisely if, just in case

Page 63: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Common variantsHere are some of the most common variants of the standardconnectives.

L1 standard connective some other formulations∧ and but, although∨ or unless¬ it is not the case that not, none, never→ if . . . then provided that, only if↔ if and only if precisely if, just in case

Page 64: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Common variantsHere are some of the most common variants of the standardconnectives.

L1 standard connective some other formulations∧ and but, although∨ or unless¬ it is not the case that not, none, never→ if . . . then provided that, only if↔ if and only if precisely if, just in case

Page 65: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Common variantsHere are some of the most common variants of the standardconnectives.

L1 standard connective some other formulations∧ and but, although∨ or unless¬ it is not the case that not, none, never→ if . . . then provided that, only if↔ if and only if precisely if, just in case

Page 66: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Common variantsHere are some of the most common variants of the standardconnectives.

L1 standard connective some other formulations∧ and but, although∨ or unless¬ it is not the case that not, none, never→ if . . . then provided that, only if↔ if and only if precisely if, just in case

Page 67: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Common variantsHere are some of the most common variants of the standardconnectives.

L1 standard connective some other formulations∧ and but, although∨ or unless¬ it is not the case that not, none, never→ if . . . then provided that, only if↔ if and only if precisely if, just in case

Page 68: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →

Formalise:

(1) If John revised, [then] he passed.

R→ P

(2) John passed if he revised.

‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.

(1) Formalisation: R → P

(2) Paraphrase: (1).

Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 69: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:

(1) If John revised, [then] he passed.

R→ P

(2) John passed if he revised.

‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.

(1) Formalisation: R → P

(2) Paraphrase: (1).

Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 70: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed.

R→ P

(2) John passed if he revised.

‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.

(1) Formalisation: R → P

(2) Paraphrase: (1).

Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 71: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed.

R→ P

(2) John passed if he revised.

‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.

(1) Formalisation: R → P

(2) Paraphrase: (1).

Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 72: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised.

‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1).

Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 73: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised.

‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1).

Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 74: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised.

‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1).

Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 75: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised.

‘P ← R’ i.e.

R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 76: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised. ‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 77: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised. ‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 78: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised. ‘P ← R’ i.e. R→ P

(3) John passed only if he revised.

P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.

Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 79: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised. ‘P ← R’ i.e. R→ P

(3) John passed only if he revised. P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 80: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised. ‘P ← R’ i.e. R→ P

(3) John passed only if he revised. P → R

(4) John only passed if he revised.

P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 81: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised. ‘P ← R’ i.e. R→ P

(3) John passed only if he revised. P → R

(4) John only passed if he revised. P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 82: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Rules of thumb for →Formalise:(1) If John revised, [then] he passed. R→ P

(2) John passed if he revised. ‘P ← R’ i.e. R→ P

(3) John passed only if he revised. P → R

(4) John only passed if he revised. P → R

Dictionary: R: John revised. P: John passed.(1) Formalisation: R → P

(2) Paraphrase: (1). Formalisation: R → P

(3) Paraphrase: If John passed, John revised.Formalisation: P → R

(4) Paraphrase: (3). Formalisation: P → R

‘If’ mid-sentence corresponds to ‘←’; ‘only if’ to →.

Page 83: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Differences between → and ‘if’

FormaliseIf the lecturer hadn’t shown up last week, Plato would havegiven the lecture.

Consider: ¬S → P .Dictionary: S: The lecturer showed up last week.P : Plato gave the lecture.

The English sentence appears to be false.But when |S|A = T, |¬S → P |A = T.

See Sainsbury, Logical Forms, ch. 2 for further discussion.

Page 84: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Differences between → and ‘if’

FormaliseIf the lecturer hadn’t shown up last week, Plato would havegiven the lecture.

Consider: ¬S → P .Dictionary: S: The lecturer showed up last week.P : Plato gave the lecture.

The English sentence appears to be false.But when |S|A = T, |¬S → P |A = T.

See Sainsbury, Logical Forms, ch. 2 for further discussion.

Page 85: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Differences between → and ‘if’

FormaliseIf the lecturer hadn’t shown up last week, Plato would havegiven the lecture.

Consider: ¬S → P .Dictionary: S: The lecturer showed up last week.P : Plato gave the lecture.

The English sentence appears to be false.But when |S|A = T, |¬S → P |A = T.

See Sainsbury, Logical Forms, ch. 2 for further discussion.

Page 86: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Differences between → and ‘if’

FormaliseIf the lecturer hadn’t shown up last week, Plato would havegiven the lecture.

Consider: ¬S → P .Dictionary: S: The lecturer showed up last week.P : Plato gave the lecture.

The English sentence appears to be false.

But when |S|A = T, |¬S → P |A = T.

See Sainsbury, Logical Forms, ch. 2 for further discussion.

Page 87: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Differences between → and ‘if’

FormaliseIf the lecturer hadn’t shown up last week, Plato would havegiven the lecture.

Consider: ¬S → P .Dictionary: S: The lecturer showed up last week.P : Plato gave the lecture.

The English sentence appears to be false.But when |S|A = T, |¬S → P |A = T.

See Sainsbury, Logical Forms, ch. 2 for further discussion.

Page 88: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Differences between → and ‘if’

FormaliseIf the lecturer hadn’t shown up last week, Plato would havegiven the lecture.

Consider: ¬S → P .Dictionary: S: The lecturer showed up last week.P : Plato gave the lecture.

The English sentence appears to be false.But when |S|A = T, |¬S → P |A = T.

See Sainsbury, Logical Forms, ch. 2 for further discussion.

Page 89: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 90: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 91: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

ParaphraseIf David folded or David didn’t have the ace, Victoria won.

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 92: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If David folded or David didn’t have the ace, Victoria won)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 93: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If David folded or David didn’t have the ace, Victoria won)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 94: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If (David folded or David didn’t have the ace), Victoriawon)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 95: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If (David folded or David didn’t have the ace), Victoriawon)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 96: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or David didn’t have the ace), Victoriawon)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 97: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or David didn’t have the ace), Victoriawon)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 98: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or it is not the case that David had theace), Victoria won)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 99: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or it is not the case that David had theace), Victoria won)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 100: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or it is not the case that (David had theace)), Victoria won)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 101: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or it is not the case that (David had theace)), Victoria won)

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 102: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or it is not the case that (David had theace)), (Victoria won))

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 103: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Paraphrase(If ((David folded) or it is not the case that (David had theace)), (Victoria won))

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 104: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Logical Form

(If ((David folded) or it is not the case that (David had theace)), (Victoria won))

This is in (propositional) logical form.All connectives are standard connectivesNo sentence can be further formalised in L1.

Formalisation: ((F ∨ ¬A) → W )

Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 105: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Complex Sentences

FormaliseIf David folded or David didn’t have the ace, Victoria won.

Logical Form

(If ((David folded) or it is not the case that (David had theace)), (Victoria won))

This is in (propositional) logical form.All connectives are standard connectivesNo sentence can be further formalised in L1.

Formalisation: ((F ∨ ¬A) → W )Dictionary: F : David folded.A: David had the ace.W : Victoria won.

Page 106: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.

(2) Exactly one of the following happened: David won orVictoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))

Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)Dictionary: D: David won. V: Victoria won.

(2) Formalisation:(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 107: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.

(2) Exactly one of the following happened: David won orVictoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))

Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)Dictionary: D: David won. V: Victoria won.

(2) Formalisation:(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 108: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.

(2) Exactly one of the following happened: David won orVictoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))

Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)Dictionary: D: David won. V: Victoria won.

(2) Formalisation:(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 109: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.

(2) Exactly one of the following happened: David won orVictoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)

Dictionary: D: David won. V: Victoria won.(2) Formalisation:

(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 110: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.

(2) Exactly one of the following happened: David won orVictoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)Dictionary: D: David won. V: Victoria won.

(2) Formalisation:(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 111: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.(2) Exactly one of the following happened: David won or

Victoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)Dictionary: D: David won. V: Victoria won.

(2) Formalisation:(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 112: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.(2) Exactly one of the following happened: David won or

Victoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)Dictionary: D: David won. V: Victoria won.

(2) Formalisation:(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 113: INTRODUCTION TO LOGIC Lecture3 Formalisation in

Logical Form

Sometimes the paraphrase may need to be quite loose.

Formalise(1) Exactly one of the following happened: David won or

Victoria won.(2) Exactly one of the following happened: David won or

Victoria won or it was a tie.

(1) Paraphrase: ((David won and Victoria did not win) or(Victoria won and David did not win))Formalisation: (D ∧ ¬V ) ∨ (V ∧ ¬D)Dictionary: D: David won. V: Victoria won.

(2) Formalisation:(D ∧ ¬V ∧ ¬T ) ∨ (V ∧ ¬D ∧ ¬T ) ∨ (T ∧ ¬D ∧ ¬V )

Dictionary: T: It was a tie.(and as before)

Page 114: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

Scope ambiguity

ExampleDavid’s hand was weak and Victoria was bound to win unless theJack came up on the turn.

Logical forms

(1) (((David’s hand was weak) and (Victoria was bound to win))or (the Jack came up on the turn))

(2) ((David’s hand was weak) and ((Victoria was bound to win)or (the Jack came up on the turn)))

Formalisation(1) (D ∧ V ) ∨ J

(2) D ∧ (V ∨ J)

DictionaryD : David’s hand was weak.V : Victoria was bound to win.J : The Jack came up on the turn.

Page 115: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

Scope ambiguity

ExampleDavid’s hand was weak and Victoria was bound to win unless theJack came up on the turn.

Logical forms

(1) (((David’s hand was weak) and (Victoria was bound to win))or (the Jack came up on the turn))

(2) ((David’s hand was weak) and ((Victoria was bound to win)or (the Jack came up on the turn)))

Formalisation(1) (D ∧ V ) ∨ J

(2) D ∧ (V ∨ J)

DictionaryD : David’s hand was weak.V : Victoria was bound to win.J : The Jack came up on the turn.

Page 116: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

Scope ambiguity

ExampleDavid’s hand was weak and Victoria was bound to win unless theJack came up on the turn.

Logical forms

(1) (((David’s hand was weak) and (Victoria was bound to win))or (the Jack came up on the turn))

(2) ((David’s hand was weak) and ((Victoria was bound to win)or (the Jack came up on the turn)))

Formalisation(1) (D ∧ V ) ∨ J

(2) D ∧ (V ∨ J)

DictionaryD : David’s hand was weak.V : Victoria was bound to win.J : The Jack came up on the turn.

Page 117: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

Scope ambiguity

ExampleDavid’s hand was weak and Victoria was bound to win unless theJack came up on the turn.

Logical forms

(1) (((David’s hand was weak) and (Victoria was bound to win))or (the Jack came up on the turn))

(2) ((David’s hand was weak) and ((Victoria was bound to win)or (the Jack came up on the turn)))

Formalisation(1) (D ∧ V ) ∨ J

(2) D ∧ (V ∨ J)

DictionaryD : David’s hand was weak.V : Victoria was bound to win.J : The Jack came up on the turn.

Page 118: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

Scope ambiguity

ExampleDavid’s hand was weak and Victoria was bound to win unless theJack came up on the turn.

Logical forms

(1) (((David’s hand was weak) and (Victoria was bound to win))or (the Jack came up on the turn))

(2) ((David’s hand was weak) and ((Victoria was bound to win)or (the Jack came up on the turn)))

Formalisation(1) (D ∧ V ) ∨ J

(2) D ∧ (V ∨ J)

DictionaryD : David’s hand was weak.V : Victoria was bound to win.J : The Jack came up on the turn.

Page 119: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 120: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 121: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 122: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 123: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 124: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 125: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 126: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 127: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 128: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J

(2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 129: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 130: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 131: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 132: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 133: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 134: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 135: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 136: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 137: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.

In (2): ∧ has wider scope.

Page 138: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.4 Ambiguity

This is a case of scope ambiguity.

Definition (p. 65)The scope of an occurrence of a connective in a sentence φ isthe occurrence of the smallest subsentence of φ that containsthis occurrence of the connective.

A subsentence of φ is any sentence occurring as part of φ(including φ itself).

(1)

Scope of ∨︷ ︸︸ ︷(D ∧ V )︸ ︷︷ ︸Scope of ∧

∨ J (2) D ∧Scope of ∨︷ ︸︸ ︷(V ∨ J)︸ ︷︷ ︸

Scope of ∧

In (1): ∨ has wider scope.In (2): ∧ has wider scope.

Page 139: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal.

Yes

(2) Tom is apart and Jerry is apart.

No

(3) Jerry is white and Jerry is a mouse.

Yes

(4) Jerry is large and Jerry is a mouse.

No

Page 140: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal.

Yes

(2) Tom is apart and Jerry is apart.

No

(3) Jerry is white and Jerry is a mouse.

Yes

(4) Jerry is large and Jerry is a mouse.

No

Page 141: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal. Yes(2) Tom is apart and Jerry is apart.

No

(3) Jerry is white and Jerry is a mouse.

Yes

(4) Jerry is large and Jerry is a mouse.

No

Page 142: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal. Yes(2) Tom is apart and Jerry is apart.

No

(3) Jerry is white and Jerry is a mouse.

Yes

(4) Jerry is large and Jerry is a mouse.

No

Page 143: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal. Yes(2) Tom is apart and Jerry is apart. No(3) Jerry is white and Jerry is a mouse.

Yes

(4) Jerry is large and Jerry is a mouse.

No

Page 144: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal. Yes(2) Tom is apart and Jerry is apart. No(3) Jerry is white and Jerry is a mouse.

Yes

(4) Jerry is large and Jerry is a mouse.

No

Page 145: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal. Yes(2) Tom is apart and Jerry is apart. No(3) Jerry is white and Jerry is a mouse. Yes(4) Jerry is large and Jerry is a mouse.

No

Page 146: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal. Yes(2) Tom is apart and Jerry is apart. No(3) Jerry is white and Jerry is a mouse. Yes(4) Jerry is large and Jerry is a mouse.

No

Page 147: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.5 The Standard Connectives

More on paraphrase

(1) Tom and Jerry are animals.(2) Tom and Jerry are apart.(3) Jerry is a white mouse.(4) Jerry is a large mouse. 37

Worked example: are these acceptable paraphrases?(1) Tom is an animal and Jerry is an animal. Yes(2) Tom is apart and Jerry is apart. No(3) Jerry is white and Jerry is a mouse. Yes(4) Jerry is large and Jerry is a mouse. No

Page 148: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Logical notions in EnglishRecall last week’s definitions of tautology, contradiction andvalidity for L1 sentences and arguments.

These properties of L1 can be transposed to English.

Definition

(1) An English sentence is a tautology if and only if itsformalisation in propositional logic is a tautology.

(2) An English sentence is a propositional contradiction ifand only if its formalisation in propositional logic is acontradiction.

(3) An argument in English is propositionally valid if andonly if its formalisation in L1 is valid. 40

Page 149: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Logical notions in EnglishRecall last week’s definitions of tautology, contradiction andvalidity for L1 sentences and arguments.These properties of L1 can be transposed to English.

Definition

(1) An English sentence is a tautology if and only if itsformalisation in propositional logic is a tautology.

(2) An English sentence is a propositional contradiction ifand only if its formalisation in propositional logic is acontradiction.

(3) An argument in English is propositionally valid if andonly if its formalisation in L1 is valid. 40

Page 150: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Logical notions in EnglishRecall last week’s definitions of tautology, contradiction andvalidity for L1 sentences and arguments.These properties of L1 can be transposed to English.

Definition

(1) An English sentence is a tautology if and only if itsformalisation in propositional logic is a tautology.

(2) An English sentence is a propositional contradiction ifand only if its formalisation in propositional logic is acontradiction.

(3) An argument in English is propositionally valid if andonly if its formalisation in L1 is valid. 40

Page 151: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Logical notions in EnglishRecall last week’s definitions of tautology, contradiction andvalidity for L1 sentences and arguments.These properties of L1 can be transposed to English.

Definition

(1) An English sentence is a tautology if and only if itsformalisation in propositional logic is a tautology.

(2) An English sentence is a propositional contradiction ifand only if its formalisation in propositional logic is acontradiction.

(3) An argument in English is propositionally valid if andonly if its formalisation in L1 is valid. 40

Page 152: INTRODUCTION TO LOGIC Lecture3 Formalisation in

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Logical notions in EnglishRecall last week’s definitions of tautology, contradiction andvalidity for L1 sentences and arguments.These properties of L1 can be transposed to English.

Definition

(1) An English sentence is a tautology if and only if itsformalisation in propositional logic is a tautology.

(2) An English sentence is a propositional contradiction ifand only if its formalisation in propositional logic is acontradiction.

(3) An argument in English is propositionally valid if andonly if its formalisation in L1 is valid. 40

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Worked ExampleShow that the following argument is propositionally valid.

Unless CO2-emissions are cut, there will be more floods.CO2-emissions won’t be cut. Therefore there will be morefloods.

Start by identifying the premisses and conclusion.Next, specify a dictionary.

Dictionary.C: CO2 emissions will be cut.M : There will be more floods.Next, formalise the premisses and conclusion.Finally, check the formalised argument is valid.

Page 154: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked ExampleShow that the following argument is propositionally valid.

Unless CO2-emissions are cut, there will be more floods.CO2-emissions won’t be cut. Therefore there will be morefloods.

Start by identifying the premisses and conclusion.

Next, specify a dictionary.

Dictionary.C: CO2 emissions will be cut.M : There will be more floods.Next, formalise the premisses and conclusion.Finally, check the formalised argument is valid.

Page 155: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked ExampleShow that the following argument is propositionally valid.

Unless CO2-emissions are cut, there will be more floods.CO2-emissions won’t be cut. Therefore there will be morefloods.

Start by identifying the premisses and conclusion.Next, specify a dictionary.

Dictionary.C: CO2 emissions will be cut.M : There will be more floods.Next, formalise the premisses and conclusion.Finally, check the formalised argument is valid.

Page 156: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked ExampleShow that the following argument is propositionally valid.

Unless CO2-emissions are cut, there will be more floods.CO2-emissions won’t be cut. Therefore there will be morefloods.

Start by identifying the premisses and conclusion.Next, specify a dictionary.

Dictionary.C: CO2 emissions will be cut.M : There will be more floods.

Next, formalise the premisses and conclusion.Finally, check the formalised argument is valid.

Page 157: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked ExampleShow that the following argument is propositionally valid.

Unless CO2-emissions are cut, there will be more floods.CO2-emissions won’t be cut. Therefore there will be morefloods.

Start by identifying the premisses and conclusion.Next, specify a dictionary.

Dictionary.C: CO2 emissions will be cut.M : There will be more floods.Next, formalise the premisses and conclusion.

Finally, check the formalised argument is valid.

Page 158: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked ExampleShow that the following argument is propositionally valid.

Unless CO2-emissions are cut, there will be more floods.CO2-emissions won’t be cut. Therefore there will be morefloods.

Start by identifying the premisses and conclusion.Next, specify a dictionary.

Dictionary.C: CO2 emissions will be cut.M : There will be more floods.Next, formalise the premisses and conclusion.Finally, check the formalised argument is valid.

Page 159: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked example (cont.)P1 Unless CO2-emissions are cut, there will be more floods.P2 CO2-emissions won’t be cut.C There will be more floods

Formalise the argument:P1 Paraphrase:

CO2-emissions will be cut or there will be more floods.Formalisation: C ∨ M .

P2 Paraphrase:It’s not the case that CO2-emissions will be cut.Formalisation: ¬C.

C Formalisation: M .

Page 160: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked example (cont.)P1 Unless CO2-emissions are cut, there will be more floods.P2 CO2-emissions won’t be cut.C There will be more floods

Formalise the argument:P1 Paraphrase:

CO2-emissions will be cut or there will be more floods.

Formalisation: C ∨ M .P2 Paraphrase:

It’s not the case that CO2-emissions will be cut.Formalisation: ¬C.

C Formalisation: M .

Page 161: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked example (cont.)P1 Unless CO2-emissions are cut, there will be more floods.P2 CO2-emissions won’t be cut.C There will be more floods

Formalise the argument:P1 Paraphrase:

CO2-emissions will be cut or there will be more floods.Formalisation: C ∨ M .

P2 Paraphrase:It’s not the case that CO2-emissions will be cut.Formalisation: ¬C.

C Formalisation: M .

Page 162: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked example (cont.)P1 Unless CO2-emissions are cut, there will be more floods.P2 CO2-emissions won’t be cut.C There will be more floods

Formalise the argument:P1 Paraphrase:

CO2-emissions will be cut or there will be more floods.Formalisation: C ∨ M .

P2 Paraphrase:It’s not the case that CO2-emissions will be cut.

Formalisation: ¬C.C Formalisation: M .

Page 163: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked example (cont.)P1 Unless CO2-emissions are cut, there will be more floods.P2 CO2-emissions won’t be cut.C There will be more floods

Formalise the argument:P1 Paraphrase:

CO2-emissions will be cut or there will be more floods.Formalisation: C ∨ M .

P2 Paraphrase:It’s not the case that CO2-emissions will be cut.Formalisation: ¬C.

C Formalisation: M .

Page 164: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

Worked example (cont.)P1 Unless CO2-emissions are cut, there will be more floods.P2 CO2-emissions won’t be cut.C There will be more floods

Formalise the argument:P1 Paraphrase:

CO2-emissions will be cut or there will be more floods.Formalisation: C ∨ M .

P2 Paraphrase:It’s not the case that CO2-emissions will be cut.Formalisation: ¬C.

C Formalisation: M .

Page 165: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C M

T2 T F1 T ? F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 166: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.

Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C M

T2 T F1 T ? F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 167: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C M

T2 T F1 T ? F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 168: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C M

T2

T

F1

T

?

F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 169: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C M

T2

T F1 T

?

F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 170: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C MT2 T F1 T

?

F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 171: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C MT2 T F1 T ? F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 172: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C MT2 T F1 T ? F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.

So, the English argument is propositionally valid.

Page 173: INTRODUCTION TO LOGIC Lecture3 Formalisation in

3.6 Natural Language and Propositional Logic

It remains to show.

(C ∨M),¬C |=M

You know two ways to do this.

Method 1: Forwards truth table.Method 2: Backwards truth table.

Backwards truth-table

C M (C ∨ M) ¬ C MT2 T F1 T ? F

This shows there cannot be a line in the truth-table in whichboth premisses are true and the conclusion is false.So, the English argument is propositionally valid.

Page 174: INTRODUCTION TO LOGIC Lecture3 Formalisation in

http://logicmanual.philosophy.ox.ac.uk