Human and Machine Thinking

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A01=Philip N. Johnson-Laird
artificial intelligence research
Author_Philip N. Johnson-Laird
Background Knowledge
calculus
Category=JMR
Category=UYQM
Chord Sequence
church's
cognitive modeling
computational models of thought
computational psychology
Content Specific Rules
Decay Damage
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exhaustively Represented
Finite State Machine
function
Inductive Machines
knowledge representation
logic and inference
mental
Mental Model
model
Model Theory
Modus Ponens
multiple
Multiple Model Problems
Multistage Algorithm
Negative Instances
Non-monotonic Reasoning
Nonmonotonic Reasoning
Positive Instances
predicate
Predicate Calculus
Premises Yield
problems
Propositional Reasoning
Putative Conclusion
Radiation Leak
reasoning processes
recursive
Recursive Functions
Regular Grammar
Semantic Information
thesis
Universal Instantiations

Product details

  • ISBN 9780805809213
  • Weight: 530g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Oct 1992
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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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