This book examines the nature of intelligence and intelligent systems as revealed by the sciences of psychology and artificial intelligence.
In the first chapter, the central and detailed aspects of a general unified theory of intelligence are presented. Unitary theories of human and artificial cognition are discussed in depth. The foundations and objectives of artificial intelligence are examined. The scope and limits of the SOAR system as a theory of unified cognition are discussed. The major sources, objectives, and approaches of cognitive psychology are analyzed.
In the second chapter, theories of reasoning and its computational modeling are considered. Experimental research in human reasoning is described, and the results are interpreted from the perspectives of several theories of deduction.
In the third chapter, problem solving and its computational modeling are considered. Theory and research concerned with the interrelationships of strategic approach and knowledge organization in problem solving are examined. Problem representation and problem solving in the EUREKA program are analyzed in terms of EUREKA's expert and novice protocols.
In the fourth chapter, the nature of analogical thinking is discussed. The ACME model of analogical mapping and its applications to a formal mathematical analogy and to a literary metaphor are examined in depth.
In the fifth, and final, chapter, scientific discovery processes in the context of artificial intelligence and human psychology are discussed.