Morton Wagman

Problem-Solving Processes in Humans and Computers

Theory and Research in Psychology and Artificial Intelligence

• Gebundenes Buch

Produktbeschreibung

Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem- solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers (Praeger, 2000). In this book, Professor Emeritus Morton Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers, (Praeger, 2000) Of special interest to readers will be Wagman's conclusion that artificial intelligence problem-solving systems are deepening and broadening theories of human problem solving from scientific to everyday approaches. Scholars and professionals in psychology, artificial intelligence, and cognitive science will consider this a volume a valuable addition to their collections.

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Produktdetails

• Verlag: Praeger
• Seitenzahl: 252
• Erscheinungstermin: 30. Dezember 2001
• Englisch
• Abmessung: 240mm x 161mm x 18mm
• Gewicht: 548g
• ISBN-13: 9780275970871
• ISBN-10: 0275970876
• Artikelnr.: 21278966

Autorenporträt

Morton Wagman

Inhaltsangabe

Preface The General Nature of Problem Solving Human Problem Solving and
Problem Solving Systems Representation in Human and Computer Scientific
Discovery Intuitive Everyday Problem Solving Insightful Problem Solving
Problem Solving Intuition in the Context of Discovery Problem Solving and
Rediscovery in Molecular Genetics Problem Solving in the Rediscovery of
Cantorian and Godelian Mathematics Artificial Intelligence Discovery
Systems Artificial Intelligence Discovery in Chemistry Artificial
Intelligence Discovery in Particle Physics General Conclusions The
Generality of Scientific Model Building Conclusions Appendix Bibliography
Author Index Subject Index