Artificial IntelligencePhilosophy III & Future of AI

Lecture 14(1 December, 1999)

Tralvex (Rex) Yeap MAAI MSCSUniversity of Leeds

2

Content: Philosophy III & Future of AI

Quick Review of Lecture 13

Philosophy III

Future of AI

Past Year Examination Papers Trends Analysis

Assignment Discussion

Conclusion

What’s in Store After This Lecture?

3

Quick Review on Lecture 14

Strong AI vs Weak AI

List of Papers for Philosophy II1. Minds, Brains, and Programs (John Searle, 1980)2. The Chinese Room Argument (The Internet Encyclopedia of Philosophy)3. Minds, Brains and Programs (Intro to Philosophy)4. Searle’s “Chinese Room” Argument (Indiana, 1990)5. Minds and Machines (Monash)6. John R. Searle’s Chinese Room (Helsinki)

4

List of Papers for Philosophy III

Why People Think Computers Can’t

How Could a Computer Beat Kasparov Fairly?

The Problem of Consciousness

What is Artificial Intelligence?

The 21st, Century Artilect: Moral Dilemmas Concerning

the Ultra Intelligent Machine

5

Paper 1. Why People Think Computers Can’t

Introduction

Can Machines Be Creative?

Problem Solving

Can Computers Understand?

Webs of Meaning

Are Human Self-Aware?

New Theories about Minds and Machines

Self-Conscious Computers

6

Paper 2. How Could a Computer Beat Kasparov Fairly?

7

Paper 3. The Problem of Consciousness

What is Consciousness?

What are the Relations between Consciousness and the

Brain?

Some Features of Consciousness

Some Common Mistakes about Consciousness

8

Paper 4. What is Artificial Intelligence?

Basic Questions

Branches of AI

Applications of AI

More Question

References

9

Paper 5. The 21st, Century Artilect: Moral DilemmasConcerning the Ultra Intelligent Machine

Introduction

A Moral Dilemma

A World Divided

Summary

References

10

List of Papers for Future of AI

AI: Realizing the Ultimate Promises of Computing

Future of AI Technology

AI is possible .. But AI won’t happen: The Future of

Artificial Intelligence

The Innovative Applications of Artificial Intelligence

Conference: Past and Future

11

Paper 6. AI: Realizing the Ultimate Promises of Computing

Bringing Common Sense, Expert Knowledge, and

Superhuman Reasoning to Computers

Historical Perspective

Case Studies

The Future

12

Paper 7. Future of AI Technology

13

Paper 8. AI is possible .. But AI won’t happen: The Future of Artificial Intelligence

The Confused History of AI

The new AI, and the new Optimism

It May Never Happen (but not for the reasons you think)

So What Will Happen?

Predictions

Conclusion

14

Paper 9. The Innovative Applications of ArtificialIntelligence Conference: Past and Future

15

Past Year Examination Papers Trends Analysis

16

Assignment Discussion

Assignment 1 on NLP & Knowledge Representation

Assignment 2 on Philosophy of AI

17

Conclusion

Continual interaction till and after Exams via electronic mail, with the introduction of ‘www.ecircles.com’ usage.

Current AI Web Hits = 1072, or 9 hits per day with visitors from at least 44 countries!

Best wishes for the coming AI Exam

18

What’s in Store After This Lecture?

Perceptual updating of AI Website http://w3.to/ai2

Current AI Web Hits = 3980, or 10.5 hits per day

Addition of Epilogue Section (after L14) that includes additional materials based on request.

End of Lecture 14

Good Night &Best Wishes for Your

Future Endeavours