COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Cognitive Science - 1st Edition - ISBN: 9780124595705, 9780080924373

Cognitive Science

1st Edition

The Science of Intelligent Systems

Authors: George Luger Peder Johnson Carl Stern Jean Newman Ronald Yeo
Hardcover ISBN: 9780124595705
eBook ISBN: 9780080924373
Imprint: Academic Press
Published Date: 6th July 1994
Page Count: 666
Sales tax will be calculated at check-out Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


The interdisciplinary field of cognitive science brings together elements of cognitive psychology, mathematics, perception, linguistics, and artificial intelligence. Given this breadth, textbooks have had difficulty providing balanced coverage-most resort to disjointed edited treatises that prove difficult to use. Cognitive Science provides a unified and comprehensive look at the field, from foundations to applications. Luger explores the logical and philosophical bases of cognitive science with multiple models of intelligence, including neural networks and connectionism. Practical programming examples are included along with an introduction to PROLOG.


Upper-division students in cognitive science.

Table of Contents

Introduction to Cognitive Science: Intelligence and the Roots of Cognitive Science. Vocabularies for Describing Intelligence. Representation Schemes. Constraining the Architecture of Minds. Natural Intelligence: Brain Function. Symbol Based Representation and Search: Network and Structured Representation Schemes. Logic Based Representation and Reasoning. Search Strategies for Weak Method Problem Solving. Using Knowledge and Strong Method Problem Solving. Machine Learning: Explicit Symbol Based Learning Models. Connectionist Networks: History, The Perception, and Backpropagation. Competitive, Reinforcement, and Attractor Learning Models. Language: Language Representation and Processing. Pragmatics and Discourse. Building Cognitive Representations in PROLOG: PROLOG as Representation and Language. Creating Meta-Interpreters in PROLOG. Epilogue: Cognitive Science: Problems and Promise. References. Index.


No. of pages:
© Academic Press 1994
6th July 1994
Academic Press
Hardcover ISBN:
eBook ISBN:

About the Authors

George Luger

Affiliations and Expertise

University of New Mexico, Albuquerque, U.S.A.

Peder Johnson

Carl Stern

Affiliations and Expertise

University of New Mexico, Albuquerque, U.S.A.

Jean Newman

Affiliations and Expertise

University of New Mexico, Albuquerque, U.S.A.

Ronald Yeo

Affiliations and Expertise

University of New Mexico, Albuquerque, U.S.A.

Ratings and Reviews