• 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

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Est. Date: Jan 28, 2026

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.

  • Author(s): Shu-Heng Chen, Yasushi Kambayashi, Hiroshi Sato
  • Publisher: Medical Information Science Reference
  • Language: en
  • Pages: 353
  • Binding: Hardcover
  • Edition: 1
  • Published: 2011
  • Dimensions: Height: 11 Inches, Length: 8.5 Inches, Weight: 2.58381771064 Pounds, Width: 0.88 Inches
  • Estimated Delivery: Jan 28, 2026
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