Cognitive Engineering

Konar, Amit; Jain, Prof. Lakhmi C.

ISBN 10: 1852339756 / ISBN 13: 9781852339753

Edité par Springer London Ltd, 2005

A propos de cet article

Explores the design issues of intelligent engineering systems. Beginning with the foundations of psychological modeling of the human mind, this book places emphasis on parallel and distributed realization of intelligent models for application in reasoning, learning, planning and multi-agent co-ordination problems. Series: Advanced Information and Knowledge Processing. Num Pages: 354 pages, 124 black & white illustrations, 14 black & white tables, biography. BIC Classification: TJK; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 22. Weight in Grams: 698. . 2005. Hardback. . . . . Books ship from the US and Ireland.

N° de réf. du vendeur V9781852339753

Détails bibliographiques

• Titre: Cognitive Engineering
• Éditeur: Springer London Ltd
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 1852339756
• ISBN à 13 chiffres: 9781852339753
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

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. Computer simulations are also included in most chapters to give a clear idea about the application of the algorithms undertaken in the book.

Présentation de l'éditeur

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.