Autonomy Oriented Computing - Info and Reading Options
From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations)
By Jiming Liu
"Autonomy Oriented Computing" is published by Springer in December 3, 2004, it has 216 pages and the language of the book is English.
“Autonomy Oriented Computing” Metadata:
- Title: Autonomy Oriented Computing
- Author: Jiming Liu
- Language: English
- Number of Pages: 216
- Publisher: Springer
- Publish Date: December 3, 2004
“Autonomy Oriented Computing” Subjects and Themes:
- Subjects: ➤ Problem solving - Intelligent agents (Computer software) - Autonomic computing - Computational intelligence - Data processing - Computers - Computer science - Software engineering - Information theory - Electronic data processing - Artificial intelligence - Computer simulation - Computing Methodologies - Theory of Computation - Artificial Intelligence (incl. Robotics) - Software Engineering/Programming and Operating Systems - Simulation and Modeling
Edition Specifications:
- Format: Hardcover
- Weight: 1.2 pounds
- Dimensions: 9.4 x 6.3 x 0.8 inches
Edition Identifiers:
- The Open Library ID: OL8373013M - OL16983612W
- Online Computer Library Center (OCLC) ID: 59080266
- Library of Congress Control Number (LCCN): 2005284556
- ISBN-13: 9781402081217
- ISBN-10: 1402081219
- All ISBNs: 1402081219 - 9781402081217
AI-generated Review of “Autonomy Oriented Computing”:
Snippets and Summary:
Autonomy oriented computing (AOC) is a new bottom-up paradigm for problem solving and complex systems modeling.
"Autonomy Oriented Computing" Description:
The Open Library:
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.
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