Cognitive Engineering : A Distributed Approach to Machine Intelligence

Amit Konar

ISBN 10: 1849969841 / ISBN 13: 9781849969840

Published by Springer London, 2010

About this Item

Druck auf Anfrage Neuware - Printed after ordering - What we profoundly witness these days is a growing number of human-centric systems and a genuine interest in a comprehensive understanding of their underlying paradigms and the development of solid and efficient design practices. We are indeed in the midst of the next information revolution, which very likely brings us into a completely new world of ubiquitous and invisible computing, Ambient Intelligent (AMI), and wearable hardware. This requires a totally new way of thinking in which cognitive aspects of design, cognitive system engineering and distributed approach play a pivotal role. This book fully addresses these timely needs by filling a gap between the two well-established disciplines of cognitive sciences and cognitive systems engineering. As we put succinctly in the preface, with the psychological perspective of human cognition in mind, 'the book explores the computational models of reasoning, learning, planning and multi-agent coordination and control of the human moods'. This is an excellent, up to the point description of the book. The treatise is focused on the underlying fundamentals, spans across a vast territory embracing logic perspectives of human cognition, distributed models, parallel computing, expert systems, and intelligent robotics. Seller Inventory # 9781849969840

Bibliographic Details

Title: Cognitive Engineering : A Distributed ...

Publisher: Springer London

Publication Date: 2010

Binding: Taschenbuch

Condition: Neu

About this title

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...

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