- 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.
If you think that you've found an error in this book, please let us know about it. You will find any confirmed erratum below, so you can check if your concern has already been addressed.No errata are currently published