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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

Copyright: © 2011 |Pages: 384
ISBN13: 9781605668987|ISBN10: 1605668982|EISBN13: 9781605668994
DOI: 10.4018/978-1-60566-898-7
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MLA

Chen, Shu-Heng, et al., editors. Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization. IGI Global, 2011. https://doi.org/10.4018/978-1-60566-898-7

APA

Chen, S., Kambayashi, Y., & Sato, H. (Eds.). (2011). Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization. IGI Global. https://doi.org/10.4018/978-1-60566-898-7

Chicago

Chen, Shu-Heng, Yasushi Kambayashi, and Hiroshi Sato, eds. Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60566-898-7

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Preface
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Acknowledgment
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Chapters
Multi-Agent Financial Decision Systems
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Chapter 2
Neuro-Inspired Agents  (pages 34-34)
Neuro-Inspired Agents
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Bio-Inspired Agent-Based Artificial Markets
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Chapter 4
Multi-Agent Robotics  (pages 155-155)
Multi-Agent Robotics
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Chapter 5
Multi-Agent Games and Simulations
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Chapter 6
Multi-Agent Learning  (pages 231-231)
Multi-Agent Learning
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Chapter 7
Miscellaneous  (pages 293-293)
Miscellaneous
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Back Materials
Compilation of References
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About the Contributors
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