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Cognitive Engineering: A Distributed Approach to Machine Intelligence

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Synopses & Reviews

Publisher Comments:

Cognitive Engineering: A Distributed Approach to Machine Intelligence 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 and distributed realization of intelligent models for application in reasoning, learning, planning and multi-agent co-ordination problems. The last two chapters provide case studies on human-mood detection and control, and behavioral co-operation of mobile robots. This is the first comprehensive text of its kind, bridging the gap between Cognitive Science and Cognitive Systems Engineering. Each chapter includes plenty of numerical examples and exercises with sufficient hints, so that the reader can solve the exercises on their own. Computer simulations are also included in most chapters to give a clear idea about the application of the algorithms undertaken in the book. In addition, mathematical analysis on convergence and stability of the neuro-fuzzy models will enable the reader to pursue their research career in cognitive engineering. Cognitive Engineering: A Distributed Approach to Machine Intelligence is unique in its theme and contents, and includes a Foreword by Professor Witold Pedrycz - written with graduates in mind, this book would also be a valuable resource for researchers in the fields of Cognitive Science, Computer Science and Cognitive Engineering.

Synopsis:

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

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.

Product Details

ISBN:
9781852339753
Author:
Konar, Amit
Publisher:
Springer
Foreword by:
Pedrycz, Witold
Foreword:
Pedrycz, Witold
Author:
Jain, Lakhmi C.
Subject:
Computer Science
Subject:
Artificial Intelligence
Subject:
Cognitive science
Subject:
Information technology
Subject:
Mathematical models
Subject:
Information science
Subject:
Neural networks (neurobiology)
Subject:
Pattern recognition.
Subject:
Artificial Intelligence - General
Subject:
Cognitive Systems Engineering
Subject:
Experts systems
Subject:
Intelligence (AI) & Semantics
Subject:
Computers-Reference - General
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Simulation and Modeling
Subject:
Symbolic and Algebraic Manipulation
Subject:
Algorithm Analysis and Problem Complexity
Subject:
Models and Principles
Subject:
Cognitive Psychology
Copyright:
Edition Number:
1
Edition Description:
2005
Series:
Advanced Information and Knowledge Processing
Publication Date:
July 2005
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
372
Dimensions:
235 x 155 mm 1540 gr

Related Subjects

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Computers and Internet » Artificial Intelligence » General
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Cognitive Engineering: A Distributed Approach to Machine Intelligence New Hardcover
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$200.95 In Stock
Product details 372 pages Springer - English 9781852339753 Reviews:
"Synopsis" by , 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.
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