eBook - ePub
Human and Machine Thinking
Philip N. Johnson-Laird
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- 200 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Human and Machine Thinking
Philip N. Johnson-Laird
Book details
Table of contents
Citations
About This Book
This book aims to reach an understanding of how the mind carries out three sorts of thinking -- deduction, induction, and creation -- to consider what goes right and what goes wrong, and to explore computational models of these sorts of thinking. Written for students of the mind -- psychologists, computer scientists, philosophers, linguists, and other cognitive scientists -- it also provides general readers with a self-contained account of human and machine thinking. The author presents his point of view, rather than a review, as simply as possible so that no technical background is required. Like the field of research itself, it calls for hard thinking about thinking.
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Table of contents
- Cover
- Title page
- Copyright page
- Dedication
- Contents
- Prologue
- 1 Deduction
- Formal Rules of Inference
- The Mental Model Theory of Deduction
- Rules Versus Models
- Some Morals for Machines
- Conclusions
- 2 Induction
- Models and Specific Inductions
- General Inductions
- Can Concepts Be Learned?
- Concepts: A Theory at the Computational Level
- Concepts and the Design of the Human Inductive System
- Conclusions
- 3 Creation
- What is Creativity?
- The Computational Architecture of Creativity
- Artistic Creativity
- Scientific Creativity
- Conclusions
- Epilogue
- References
- Author Index
- Subject Index