The Sciences of Cognition: Theory and Research in Psychology and Artificial Intelligence

By Morton Wagman | Go to book overview

1
The Nature of Intelligence and Intelligent Systems

GENERAL UNIFIED THEORY OF INTELLIGENCE

Central Aspects of the Theory

A different, more abstract, and inclusive general unified theory of intelligence can be formulated on the basis of the logic of implication. This fundamental theorem of intelligence would hold that the logic of implication (if p, then q) subsumes both the formal structure of human reasoning and problem solving and the formal structure of artificial intelligence. The logic of implication is foundational to mathematical and scientific reasoning and to the reasoning of everyday behavior ( Wagman, 1978, 1984, 1993) and is foundational to programming logic and knowledge representation formalisms in artificial intelligence systems ( Wagman, 1980, 1988, 1991a, 1991b).


Mathematics and Unified Theories in Science

Mathematics summarizes scientific research results, but, more significantly, mathematics formulates general bodies of scientific theory.

Mathematics is the foundation of all exact knowledge of natural phenomena ( Hilbert, quoted in Kline, 1985, p. vi).

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The Sciences of Cognition: Theory and Research in Psychology and Artificial Intelligence
Table of contents

Table of contents

  • Title Page iii
  • Contents vii
  • Illustrations ix
  • Preface xi
  • Acknowledgments xiii
  • 1- The Nature of Intelligence And Intelligent Systems 1
  • 2- Reasoning 69
  • 3- Problem Solving 89
  • 4- Analogical Thinking 107
  • 5- Scientific Discovery 117
  • Appendix 141
  • Bibliography 145
  • Author Index 161
  • Subject Index 165
  • About the Author 169
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