Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations, 12) Hardcover - 2004
by Liu, Jiming, Jin, XiaoLong, Tsui, Kwok Ching
- Used
Description
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Details
- Title Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations, 12)
- Author Liu, Jiming, Jin, XiaoLong, Tsui, Kwok Ching
- Binding Hardcover
- Edition 1st
- Condition Used - Good
- Pages 216
- Volumes 1
- Language ENG
- Publisher Springer, Boston, Dordrecht, and London
- Date 2004-12-03
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # Z1-I-003-01036
- ISBN 9781402081217 / 1402081219
- Weight 1.25 lbs (0.57 kg)
- Dimensions 9.4 x 6.4 x 0.7 in (23.88 x 16.26 x 1.78 cm)
- Library of Congress subjects Problem solving - Data processing, Intelligent agents (Computer software)
- Library of Congress Catalog Number 2005284556
- Dewey Decimal Code 003.7
From the publisher
First line
From the rear cover
Autonomy Oriented Computing explores the important theoretical and practical issues in AOC, by analyzing methodologies and presenting experimental case studies. The book serves as a comprehensive reference source for researchers, scientists, engineers, and professionals in all fields concerned with this promising new development in computer science. It can also be used as a main or supplementary text in graduate and undergraduate programs across a broad range of computer-related disciplines, including Robotics and Automation, Amorphous Computing, Image Processing and Computer Vision, Programming Paradigms, Computational Biology, and many others.
The first part of the book, Fundamentals, describes the basic concepts and characteristics of an AOC system, and then it enumerates the critical design and engineering issues faced in AOC system development. The second part of the book, AOC in Depth, provides a detailed analysis of methodologies and case studies to evaluate the use of AOC in problem solving and complex system modeling. The final chapter reviews the essential features of the AOC paradigm and outlines a number of possibilities for future research and development.
Numerous illustrative examples, experimental case studies, and exercises at the end of each chapter of Autonomy Oriented Computing help particularize and consolidate the methodologies and theories as they are presented.
