Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization

Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization

Shu-Heng Chen, Yasushi Kambayashi, Hiroshi Sato
Indexed In: SCOPUS
Release Date: July, 2010|Copyright: © 2011 |Pages: 384
DOI: 10.4018/978-1-60566-898-7
ISBN13: 9781605668987|ISBN10: 1605668982|EISBN13: 9781605668994
Hardcover:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$245.00
Benefits & Incentives
TOTAL SAVINGS: $245.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$295.00
Benefits & Incentives
TOTAL SAVINGS: $295.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$295.00
Benefits & Incentives
TOTAL SAVINGS: $295.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
Article Processing Charge:
Available
$700.00
Benefits & Incentives
TOTAL SAVINGS: $700.00
OnDemand:
(Individual Chapters)
Available
$37.50
Benefits & Incentives
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Effective immediately, IGI Global has discontinued softcover book production. The softcover option is no longer available for direct purchase.
Description & Coverage
Description:

Biologically inspired computation methods are growing in popularity in intelligent systems, creating a need for more research and information.

Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization compiles numerous ongoing projects and research efforts in the design of agents in light of recent development in neurocognitive science and quantum physics. This innovative collection provides readers with interdisciplinary applications of multi-agents systems, ranging from economics to engineering.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agent-based knowledge acquisition
  • Ant colony clustering method
  • Autonomous mobile sensors
  • Computations for financial applications
  • Coordinating collective behavior
  • Decentralized pervasive systems
  • Evolving artificial neural network
  • Exploitation oriented learning
  • Financial hybrid systems
  • Man-machine system
  • Neural-like assumptions
  • Simple artificial market
Reviews & Statements

This volume covers six subjects, which of course are not exhaustive but are sufficiently representative of the current important developments of MAS and, in the meantime, point to the directions for the future. When computer science becomes more social and the social sciences become more computational, publications that can facilitate the talks between the two disciplines are demanded. This edited volume demonstrates our efforts to work this out.

– Shu-Heng Chen (National Chengchi University, Taiwan); Yasushi Kambayashi (Nippon Institute of Technology, Japan); Hiroshi Sato (National Defense Academy, Japan)
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Shu-Heng Chen is a professor in the Department of Economics and Director of Center of International Education and Exchange at the National Chengchi University. He also serves as the Director of the AI-ECON Research Center, National Chengchi University, the editor- in-chief of the Journal of New Mathematics and Natural Computation (World Scientific), the associate editor of the Journal of Economic Behavior and Organization, and the editor of the Journal of Economic Interaction and Coordination. Dr. Chen holds an M.A. degree in mathematics and a Ph. D. in Economics from the University of California at Los Angeles. He has more than 150 publications in international journals, edited volumes and conference proceedings. He has been invited to give keynote speeches and plenary talks on many international conferences. He is also the editor of the volume "Evolutionary Computation in Economics and Finance" (Plysica-Verlag, 2002), "Genetic Algorithms and Genetic Programming in Computational Finance" (Kluwer, 2002), and the co-editor of the Volume I & II of "Computational Intelligence in Economics and Finance" (Springer-Verlag, 2002 & 2007), "Multi-Agent for Mass User Support" (Springer-Verlag, 2004), “Computational Economics: A Perspective from Computational Intelligence” (IGI publisher, 2005), and “Simulated Evolution and Learning,” Lecture Notes in Computer Science, ( LNCS 4247) (Springer, 2006), as well as the guest editor of Special Issue on Genetic Programming, International Journal on Knowledge Based Intelligent Engineering Systems (2008). His research interests are mainly on the applications of computational intelligence to the agent-based computational economics and finance as well as experimental economics. Details of Shu-Heng Chen can be found at http://www.aiecon.org/ or http://www.aiecon.org/staff/shc/E_Vita.htm.
Yasushi Kambayashi is an associate professor in the Department of Computer and Information Engineering at the Nippon Institute of Technology. His research interests include theory of computation, theory and practice of programming languages, and political science. He received his PhD in Engineering from the University of Toledo, his MS in Computer Science from the University of Washington, and his BA in Law from Keio University.
Hiroshi Sato is Assistant Professor of Department of Computer Science at National Defense Academy in Japan. He was previously Research Associate at Department of Mathematics and Information Sciences at Osaka Prefecture University in Japan. He holds the degrees of Physics from Keio University in Japan, and Master and Doctor of Engineering from Tokyo Institute of Technology in Japan. His research interests include agent-based simulation, evolutionary computation, and artificial intelligence. He is a member of Japanese Society for Artificial Intelligence, and Society for Economic Science with Heterogeneous Interacting Agents.
Abstracting & Indexing
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.