Artificial Intelligence: Structures and Strategies for Complex Problem Solving - Hardcover

Luger, George F.; Stubblefield, William A.

Hardcover

ISBN 10: 0805311963 ISBN 13: 9780805311969

Verlag: Addison-Wesley Longman, Amsterdam, 1997

Inhaltsangabe

Combines the theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object and agent-based architectures, along with example programs written in LISP and PROLOG.
The practical applications of AI have been kept within the context of its broader goal: understanding the patterns of intelligence as it operates in this world of uncertainty, complexity and change.

The introductory and concluding chapters take a new look at the potentials and challenges facing artificial intelligence and cognitive science.An extended treatment of knowledge-based problem-solving is given including model-based and case-based reasoning.

Includes new material on:Fundamentals of search, inference and knowledge representatioAI algorithms and data structures in LISP and PROLOProduction systems, blackboards, and meta-interpreters including planers, rule-based reasoners, and inheritance systemsMachine-learning including ID3 with bagging and boosting, explanation based learning, PAC learning, and other forms of inductioNeural networks, including perceptrons, back propogation, Kohonen networks, Hopfield networks, Grossberg learning, and counterpropagationEmergent and social methods of learning and adaptation, including genetic algorithms, genetic programming and artificial lifeObject and agent-based problem solving and other forms of advanced knowledge representation
 

Über diesen Titel

Über die Autorin bzw. den Autor

George Luger is currently a Professor of Computer Science and Psychology at the University of New Mexico. His research interests include modeling human intelligence and building intelligent control systems. He received his PhD at the University of Pennsylvania and has worked as a research fellow at the University of Edinburgh.

William Stubblefield is currently a Senior Member of Technical Staff at Sandia National Laboratories. His research interests include intelligent manufacturing systems, human-computer interaction, and computational models of metaphor and analogy. He received his PhD at the University of New Mexico and has worked as a visiting professor at Dartmouth College.

Details zur Ausgabe

• Verlag: Addison-Wesley Longman, Amsterdam
• Erscheinungsdatum: 1997
• Sprache: Englisch
• ISBN 10: 0805311963
• ISBN 13: 9780805311969
• Einband: Gebundene Ausgabe
• Auflage: 3
• Anzahl der Seiten: 536
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Riccardo Bacigalupo; riccardo.bacigalupo@sanoma.it; ; Sanoma Italia Via Arconati, 1 �; Milano; 20135; Italien