The general unified theory of intelligence addresses the cognitive functions of thinking, reasoning, and problem solving. At an abstract level, this theory construes the intellective functions of humans and computers as, respectively, restricted and directed forms of the logic of implication. In other words, human intelligence operates according to production rules. Here, Wagman presents the central tenets and research elaboration of the general unified theory of intelligence that embraces both human and artifical intelligence across the cognitive domains of scientific discovery processes,…mehr
The general unified theory of intelligence addresses the cognitive functions of thinking, reasoning, and problem solving. At an abstract level, this theory construes the intellective functions of humans and computers as, respectively, restricted and directed forms of the logic of implication. In other words, human intelligence operates according to production rules. Here, Wagman presents the central tenets and research elaboration of the general unified theory of intelligence that embraces both human and artifical intelligence across the cognitive domains of scientific discovery processes, inductive and deductive reasoning, and the mechanisms basic to analogical thinking and problem solving.
MORTON WAGMAN is Professor Emeritus of Psychology, University of Illinois, Urbana-Champaign./e He is the author of 11 previous books for Praeger on artificial intelligence and applications to psychology and the human mind.
Inhaltsangabe
Preface General Unified Theory of Intelligence The Generality of Abstract Rules in Intelligent Reasoning The Generality of Creative Mechanisms in Intelligent Reasoning The Generality of Analogical Mapping in Intelligent Reasoning The Generality of Explanatory Coherence in Intelligent Reasoning The Generality of Symbolic Connectionist Models in Intelligent Reasoning The Generality of the SOAR System in Intelligent Reasoning Summary and Conclusion Appendix: Expert Systems and a General Unified Theory of Intelligence Bibliography
Preface General Unified Theory of Intelligence The Generality of Abstract Rules in Intelligent Reasoning The Generality of Creative Mechanisms in Intelligent Reasoning The Generality of Analogical Mapping in Intelligent Reasoning The Generality of Explanatory Coherence in Intelligent Reasoning The Generality of Symbolic Connectionist Models in Intelligent Reasoning The Generality of the SOAR System in Intelligent Reasoning Summary and Conclusion Appendix: Expert Systems and a General Unified Theory of Intelligence Bibliography
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