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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75213

Title:	Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization
Authors:	Chen, S.-H.;Kambayashi, Y.;Sato, H.
Contributors:	經濟系
Date:	2010
Issue Date:	2015-05-21 15:10:57 (UTC+8)
Abstract:	From a historical viewpoint, the development of multi-agent systems demonstrates how computer science has become more social, and how the social sciences have become more computational. With this development of cross-fertilization, our understanding of multi-agent systems may become partial if we only focus on computer science or only focus on the social sciences. This book with its 17 chapters intends to give a balanced sketch of the research frontiers of multi-agent systems. We trace the origins of the idea, a biologically-inspired approach to multi-agent systems, to John von Neumann, and then continue his legacy in this volume.
Relation:	Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization, Pages xvi-xxvii Editorial
Data Type:	book/chapter
DOI 連結:	http://dx.doi.org/10.4018/978-1-60566-898-7
DOI:	10.4018/978-1-60566-898-7
Appears in Collections:	[經濟學系] 專書/專書篇章

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