Population Games and Evolutionary Dynamics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Population Games and Evolutionary Dynamics

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William H. Sandholm 作者
The MIT Press
译者
2011-1 出版日期
560 页数
USD 65.00 价格
Hardcover
Economic Learning and Social Evolution 丛书系列
9780262195874 图书编码

Population Games and Evolutionary Dynamics 在线电子书 图书标签: GameTheory  Evolutionary  Evolution  看死哥了  博弈论  Game  Theory  MicroEcon   


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发表于2024-11-08


Population Games and Evolutionary Dynamics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Population Games and Evolutionary Dynamics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Population Games and Evolutionary Dynamics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Population Games and Evolutionary Dynamics 在线电子书 著者简介

William H. Sandholm is Professor of Economics at the University of Wisconsin–Madison.


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Population Games and Evolutionary Dynamics 在线电子书 图书描述

This text offers a systematic, rigorous, and unified presentation of evolutionary game theory, covering the core developments of the theory from its inception in biology in the 1970s through recent advances. Evolutionary game theory, which studies the behavior of large populations of strategically interacting agents, is used by economists to make predictions in settings where traditional assumptions about agents' rationality and knowledge may not be justified. Recently, computer scientists, transportation scientists, engineers, and control theorists have also turned to evolutionary game theory, seeking tools for modeling dynamics in multiagent systems. Population Games and Evolutionary Dynamics provides a point of entry into the field for researchers and students in all of these disciplines.

The text first considers population games, which provide a simple, powerful model for studying strategic interactions among large numbers of anonymous agents. It then studies the dynamics of behavior in these games. By introducing a general model of myopic strategy revision by individual agents, the text provides foundations for two distinct approaches to aggregate behavior dynamics: the deterministic approach, based on differential equations, and the stochastic approach, based on Markov processes. Key results on local stability, global convergence, stochastic stability, and nonconvergence are developed in detail. Ten substantial appendixes present the mathematical tools needed to work in evolutionary game theory, offering a practical introduction to the methods of dynamic modeling. Accompanying the text are nearly 200 color illustrations of the mathematics and theoretical results; many were created using the Dynamo software suite, which is freely available on the author's Web site. Readers are encouraged to use Dynamo to run quick numerical experiments and to create publishable figures for their own research.

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