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Morton Wagman examines the emulation of human cognition by artificial intelligence systems. The range, depth, and sensitivity of mathematical and legal reasoning systems are compared with human mathematicians and human jurisprudence.

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Experimental research in deductive and inductive reasoning, the nature of artificial intelligence reasoning systems, nonmonotonic and common-sense reasoning, and general types of reasoning in artificial intelligence are examined.

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Morton Wagman's text compares the two realms, identifies consonant and disparate modes of cognition, and identifies a general theory of human and artificial intelligence.

A general theory of intellect entails the specific components of intellect as conceptualized in the domains of human and artificial intelligence.

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A scholarly examination of the centrality of the mind-body problem within and across the science of cognitionfrom philosophy to psychology to artificial intelligence to neural science.

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This book presents and critically evaluates the contributions of both cognitive psychology and artificial intelligence to our understanding of the nature of intelligence and intelligent systems.

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This scholarly treasury of over 450 distinguished quotations, divided into 170 categories, focuses on the best thinking in the disciplines of psychology, philosophy, and artificial intelligence, from the classical period of Greece to contemporary cognitive science.

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The advancement of knowledge concerning the complexities of human intellective processes can best be achieved by combining theory and research from the disciplines of cognitive psychology and artificial intelligence.

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A comprehensive analysis of current theory and research in the psychological, computational, and neural sciences directed toward the elucidation of the structures and processes of language and thought.

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The author gives a broad, structured account of advancing intellectual developments in both psycholgical and computational theories of the nature of problem solving.

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Advancing research in artificial intelligence is creating reasoning systems that increasingly emulate or surpass the power of human reasoning.

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Wagman offers a critical analysis of current theory and research in the psychological and computational sciences, directed toward the elucidation of scientific discovery processes and structures. It discusses human scientific discovery processes, analyzes computer scientific discovery processes, and makes a comparative evaluation of the two.

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The general unified theory of intelligence addresses the cognitive functions of thinking, reasoning, and problem solving.

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In an evaluation of the strengths and limitations of artificial intelligence in a number of intellectual domains, Wagman draws comparisons with human cognitive ability in those domains, and assesses its role as a theoretical model, as a collaborator, or as a competitor of the human mind.

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Wagman presents a general, unified theory of artificial and human intelligence under which the nature of human reasoning, problem solving, analogical thinking, and scientific discovery is examined from theoretical, research and computational perspectives.

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A critical examination of the advancing intellectual developments in artificial intelligence and evaluation of their salient philosophical and psychological implications.