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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.
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.
The general unified theory of intelligence addresses the cognitive functions of thinking, reasoning, and problem solving.
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.
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.
A scholarly examination of the centrality of the mind-body problem within and across the science of cognition-from philosophy to psychology to artificial intelligence to neural science.
Advancing research in artificial intelligence is creating reasoning systems that increasingly emulate or surpass the power of human reasoning.
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.
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.
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.
This is a comprehensive analysis of current theory and research in the psychological, computational and neural sciences directed towards the elucidation of the structures and processes of language and thought. Chapters discuss language comprehension and artificial intelligence.
A critical examination of the advancing intellectual developments in artificial intelligence and evaluation of their salient philosophical and psychological implications.
This scholarly book presents and critically evaluates the outstanding contributions of both cognitive psychology and artificial intelligence to our understanding of the nature of intelligence and intelligent systems.
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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