Autonomy Oriented Computing
From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations)
1 edition
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Word Count
54,000 words, Guess
Page Count
216 pages
Physical Format
Hardcover
Identifiers
- Open LibraryOL8373013M
- ISBN-139781402081217
- ISBN-101402081219
- OCLC Control Number59080266
- OCLC Control Numberautonomyoriented00liuj_100
and 3 more
- Library of Congress Control Number2005284556
- LibraryThing4151494
- Goodreads1704710
Classifications
- LCCQ295QA402.3-402.37Q3
Description
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.
First Sentence
Autonomy oriented computing (AOC) is a new bottom-up paradigm for problem solving and complex systems modeling.
Subjects
Topics
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