Robert G. Reynolds 
Cultural Algorithms [EPUB ebook] 
Tools to Model Complex Dynamic Social Systems

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A thorough look at how societies can use cultural algorithms to understand human social evolution
For those working in computational intelligence, developing an understanding of how cultural algorithms and social intelligence form the essential framework for the evolution of human social interaction is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems that work.
For such a vast topic, the text covers everything from the history of the development of cultural algorithms and the basic framework with which it was organized. Readers will also learn how other nature-inspired algorithms can be expressed and how to use social metrics to assess the performance of various algorithms.
In addition to these topics, the book covers topics including:
* The CAT system including the Repast Simphony System and CAT Sample Runs
* How to problem solve using social networks in cultural algorithms with auctions
* Understanding Common Value Action to enhance Social Knowledge Distribution Systems
* Case studies on team formations
* An exploration of virtual worlds using cultural algorithms
For industry professionals or new students, Cultural Algorithms provides an impactful and thorough look at both social intelligence and how human social evolution translates into the modern world.

€116.99
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关于作者

DR. ROBERT G. REYNOLDS is a Professor of Computer Science at Wayne State University and a Visiting Research Scientist at the University of Michigan’s Museum of Anthropology. In addition to serving as the Computational Intelligence Representative to the IEEE USA Research and Development Committee, he has also been an Associate Editor for eight Intelligent System and IEEE journals.

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语言 英语 ● 格式 EPUB ● 网页 288 ● ISBN 9781119403104 ● 文件大小 38.9 MB ● 出版者 John Wiley & Sons ● 发布时间 2020 ● 版 1 ● 下载 24 个月 ● 货币 EUR ● ID 7693017 ● 复制保护 Adobe DRM
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