Statistical Physics and Computational Methods for Evolutionary Game Theory (SpringerBriefs in Complexity)
暫譯: 統計物理與演化博弈理論的計算方法 (SpringerBriefs in Complexity)
Marco Alberto Javarone
- 出版商: Springer
- 出版日期: 2018-01-22
- 售價: $2,990
- 貴賓價: 9.5 折 $2,841
- 語言: 英文
- 頁數: 74
- 裝訂: Paperback
- ISBN: 3319702041
- ISBN-13: 9783319702049
-
相關分類:
物理學 Physics
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
本書介紹了演化博弈理論（Evolutionary Game Theory, EGT），這是一個新興的複雜系統領域，吸引了來自不同科學社群的研究者的關注。EGT 使人們能夠表示和研究多種複雜現象，例如社會系統中合作的出現、順應性在塑造種群平衡中的角色，以及生物和生態系統中的動態。
由於 EGT 模型屬於複雜系統領域，統計物理學成為研究其行為的基本要素。同時，一些 EGT 模型的複雜性，例如通過基於代理的方法實現的模型，通常需要實施數值模擬。因此，除了提供 EGT 的介紹外，本書還簡要概述了主要的統計物理工具（如相變化和伊辛模型）以及模擬演化博弈的計算策略（如在格子上的蒙地卡羅算法）。本書將吸引這一蓬勃發展的複雜系統領域中的學生和研究者。
