Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling

by Jiming Liu, XiaoLong Jin, Kwok Ching Tsui

Overview

Autonomy Oriented Computing is a comprehensive reference for scientists, engineers, and other professionals concerned with this promising development in computer science. It can also be used as a text in graduate/undergraduate programs in a broad range of computer-related disciplines, including Robotics and Automation, Amorphous Computing, Image Processing, Programming Paradigms, Computational Biology, etc.

Part One describes the basic concepts and characteristics of an AOC system and enumerates the critical design and engineering issues faced in AOC system development. Part Two gives detailed analyses of methodologies and case studies to evaluate AOC used in problem solving and complex system modeling. The final chapter outlines 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 presented.

Product Details

ISBN-13:	9781441954800
Publisher:	Springer US
Publication date:	12/01/2010
Series:	Multiagent Systems, Artificial Societies, and Simulated Organizations , #12
Edition description:	Softcover reprint of hardcover 1st ed. 2005
Pages:	216
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Fundamentals.- From Autonomy to AOC.- AOC at a Glance.- Design and Engineering Issues.- A Formal Framework of AOC.- AOC in Depth.- AOC in Constraint Satisfaction.- AOC in Complex Systems Modeling.- AOC in Optimization.- Challenges and Opportunities.

Editorial Reviews

From the reviews:

“The book contains numerous illustrative examples and experimental case studies, and there is a rich collection of online resources at http://www.comp.hkbu.edu.hk/~jiming, including software (with source code), slides, and links. In this sense, the book has potential as a resource for a graduate course in evolutionary computation…

In summary, as a coherent treatment of a substantial body of work, with implications and challenges for the broader field of emergent behavior, the book contains a fair amount of interesting and thoughtfully presented material, and will be of interest to many. In addition, the care taken by the authors to package the book with commentary on the approach and the place of the work in the fields, and the impressive collection of additional resources, is a model that others should be encouraged to follow.” (L. Sonenberg, Association for Computing Machinery, Reviews.com, Sep 9 2005)

From the Publisher