| 书目名称 | Statistical Physics and Computational Methods for Evolutionary Game Theory | | 编辑 | Marco Alberto Javarone | | 视频video | | | 丛书名称 | SpringerBriefs in Complexity | | 图书封面 |  | | 描述 | This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems.Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). This book will appeal to students and researchers in this burgeoning field of complex systems.. | | 出版日期 | Book 2018 | | 关键词 | Evolutionary Game Theory (EGT); population dynamics; Nash equilibrium; role of conformism; biological an | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-70205-6 | | isbn_softcover | 978-3-319-70204-9 | | isbn_ebook | 978-3-319-70205-6Series ISSN 2191-5326 Series E-ISSN 2191-5334 | | issn_series | 2191-5326 | | copyright | The Editor(s) (if applicable) and The Author(s) 2018 |
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发表于 2025-3-21 18:37:05
