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題名: | Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization | 作者: | Chen, S.-H.;Kambayashi, Y.;Sato, H. | 貢獻者: | 經濟系 | 日期: | 2010 | 上傳時間: | 21-May-2015 | 摘要: | 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. | 關聯: | Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization, Pages xvi-xxvii Editorial | 資料類型: | book/chapter | DOI: | http://dx.doi.org/10.4018/978-1-60566-898-7 |
Appears in Collections: | 專書/專書篇章 |
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