- Full Description
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.
- Table of Contents
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.
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