{
"item_title" : "Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies",
"item_author" : [" Shu-Heng Chen", "Yasushi Kambayashi", "Hiroshi Sato "],
"item_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.",
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Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies : Intelligent Techniques for Ubiquity and Optimization
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781605668987
- ISBN-10: 1605668982
- Publisher: Medical Information Science Reference
- Publish Date: July 2010
- Dimensions: 11.2 x 8.6 x 1 inches
- Shipping Weight: 2.6 pounds
- Page Count: 384
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