Cognitive Engineering: A Distributed Approach to Machine Intelligence by Amit KonarCognitive Engineering: A Distributed Approach to Machine Intelligence by Amit Konar

Cognitive Engineering: A Distributed Approach to Machine Intelligence

byAmit Konar

Paperback | October 22, 2010

Pricing and Purchase Info

$237.39 online 
$274.95 list price save 13%
Earn 1,187 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


This book explores the design issues of intelligent engineering systems. Beginning with the foundations of psychological modeling of the human mind, the main emphasis is given to parallel & distributed realization of intelligent models for application in reasoning, learning, planning & multi-agent co-ordination problems. Case studies on human-mood detection & control, & behavioral co-operation of mobile robots are provided. This is the 1st comprehensive text of its kind, bridging the gap between Cognitive Science & Cognitive Systems Engineering.Each chapter includes plenty of numerical examples & exercises with sufficient hints, so that readers can solve the exercises on their own. Computer simulations are included in most chapters to give a clear idea about the application of the algorithms undertaken.This book is unique in its theme & contents - written with graduates in mind, it would also be a valuable resource for researchers in the fields Cognitive Science, Computer Science & Cognitive Engineering.
Title:Cognitive Engineering: A Distributed Approach to Machine IntelligenceFormat:PaperbackDimensions:354 pages, 23.5 × 15.5 × 1.73 inPublished:October 22, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1849969841

ISBN - 13:9781849969840

Look for similar items by category:


Table of Contents

The Psychological Basis of Cognitive Modeling.- Parallel and Distributed Logic Programming.- Distributed Reasoning by Fuzzy Petri Nets: A Review.- Belief Propagation and Belief Revision Models in Fuzzy Petri Nets.- Building Expert Systems Using Fuzzy Petri Nets.- Distributed Learning Using Fuzzy Cognitive Maps.- Unsupervised Learning by Fuzzy Petri Nets.- Supervised Learning by Fuzzy Petri Nets.- Distributed Modeling of Abduction, Reciprocity and Duality by Fuzzy Petri Nets.- Human Mood Detection and Control: A Cybernetic Approach.- Distributed Planning and Multi-Agent Coordination of Robots.