moving right along: a computational model of metaphoric reasoning about events

8/15/2019 Moving Right Along: A Computational Model of Metaphoric Reasoning about Events

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ACTORS

DIFFICULTIES

ARE

OBSTACLES

IS ACT IS

REM OBSINJURED

DIST(Forw.)

ROADBLOCK

PROGRESS

HEALTHYPAIN WALK

ACTORACTION

FALL => FAIL

DEG. COMPLETEOUTCOME

MOVERS

ARE

BARRIERCONTROLDISEASE

INFLATION EC. STATE POLICY DIFFICULTY

DIST.

STATUS

MOVE

TARGET DOMAIN BELIEF NET (T)

TARGET DOMAIN BELIEF NET (T - 1)

BUMP MOVER E NERGY WALLFALL

CURE(DISEASE)

COMPETENTDOCTOR

TURN(DIR)MOVE(Obstacle?)STABILIZE

FALL

PRESCRIBE(REMEDY)

QUACK

REMOVE(obstacle?)

X-SCHEMA REPRESENTATION AND INFERENCE

Triggering

SOURCE DOMAIN F-STRUCT

Context-sensitive Activation

Metaphoric Projection

SMAP

WALK(RATE, DEST)

STEP(RATE)

OMAPMETAPHOR-MAPS

OMAPSMAP

Inference

PMAP


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ready doneongoing finishstart

ready donestart ongoing finish

cancel

start ongoing finish

donefinishongoingstart

iterate

use(energy)

ready

in_control

unstable

Bump

down

done

energy

FALL

STABILIZEGET UP

WALK

restart

suspendstop suspendedstopped

7

8

5

Source Domain F-struct

False = .7

None = .7

USG =.6Actor

Policy

difficulty

Policy Status

Outcome

Progress

Deg. Complete

Goal

P(ACTOR, 2 | ACTOR, 1)P(ACTOR, 1 | ACTOR, 0)P(ACTOR,0)

T= 1 T= 2T= 0

Do_change


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OBSTACLES

ARE

DIFFICULTIES

IS DIST(Forw.)

PROGRESS ACT => MOVE

X-SCHEMA REPRESENTATION AND INFERENCE

FALL=>FAIL MOVERS

ACTORS

INJURED CONTROL

STATUS ACTOR OUTCOME

DEG.COMPLETEOUTCOMEACTORSTATUSPOLICY DIFFICULTY

DIFFICULTYDEG.COMPLETEACTION

ACTIONEC.STATEINFLATION

I NF LATI ON E C. S TAT E P OL IC Y

Lib.

WALK

ARE

STEP(RATE)

ENERGY FALL

WALK(RATE,DEST)

BUMPMOVER

STABILIZEFALL


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T = 0 T=1 T = 2 T = 2++

EC.-STATE = POS

COUNTRY=FRANCE

COUNTRY=GERMANY

EUROPEAN GIANT FALLS SICK

PERSON => EC. ACTOR

SIZE => GDP

DOMAIN =EC.STATE

DOMAIN=EC. POLICY

SICK => EC. STATE=NEG

STRENGTH=> EC. POWER


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T = 0 T=1 T = 2 T = 2++

DOMAIN =EC.POLICY

ONGOING POLICY

ON-SCHEDULE

OUTCOME=SUCCESS

MOVE->IMPLEMENT

SUSPENDED POLICY

RATE->PROGRESS

SCH: FALL

RECESSION

DOMAIN =EC.STATE

T = 0 T=1 T = 2 T = 2++

MOVER -> ACTOR

IN_CONTROL(MOVER) -> IN_CONTROL(ACTOR)

HOLE -> RECESSION

IN_CONTROL(ACTOR)


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T = 0 T=1 T = 2 T = 2++

DOMAIN =EC.POL

ONGOING POLICY

PATH => POLICY

MOVE => IMPLEMENT

MULTIPLE POLICIES

CHOOSE POLICY

less

down

Stocks

more

Healthy again Stocks down

V=>Q

H => Q

healthy


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moving right along: a computational model of metaphoric reasoning about events

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