Simulating Social Complexity - A Handbook
Simulating Social Complexity - A Handbook
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模拟社会复杂性 - 手册
DOI：
10.1007/978-3-540-93813-2_18
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Chattoe-Brown E
中科院分区：
文献类型：
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作者：
Chattoe-Brown E
为什么阅读本章学习可能在设计自适应系统的模拟中有用的技术，包括遗传算法（GA），分类器系统（CS）和遗传编程（GP）。本章还将告诉你模拟，有一个根本的进化结构-那些与变化，选择和复制的实体-显示如何这可能是相关的社会科学problem.AbstractAfter一个介绍，进化的抽象概念被分析为四个过程，说明相对于一个简单的进化游戏。一个简短的历史演变的想法在社会科学中，说明了不同的方式，其中进化的想法已被使用。GA的技术，然后描述和讨论，包括：表示的问题和组成的初始人口，适应度函数，繁殖过程中，遗传算子，收敛问题，和一些概括的方法，包括内生的演变。同时简要介绍了遗传算法潜在的发展方向--GP和CS。四个详细的例子，社会科学应用的进化技术，然后提出：使用GA的Arifovic的“蛛网”模型，使用CS的模型中制定的价格莫斯，GP的作用，在理解决策过程中的股票市场模型和相关的进化思想，社会科学的生存模式为“严格”的教会。本章最后讨论了在社会科学中使用生物进化思想的前景和困难。
Why Read This ChapterTo learn about techniques that may be useful in designing simulations of adaptive systems including Genetic Algorithms (GA), Classifier Systems (CS) and Genetic Programming (GP). The chapter will also tell you about simulations that have a fundamentally evolutionary structure – those with variation, selection and replications of entities – showing how this might be made relevant to social science problems.AbstractAfter an introduction, the abstract idea of evolution is analysed into four processes which are illustrated with respect to a simple evolutionary game. A brief history of evolutionary ideas in the social sciences is given, illustrating the different ways in which the idea of evolution has been used. The technique of GA is then described and discussed including: the representation of the problem and the composition of the initial population, the fitness function, the reproduction process, the genetic operators, issues of convergence, and some generalisations of the approach including endogenising the evolution. GP and CS are also briefly introduced as potential developments of GA. Four detailed examples of social science applications of evolutionary techniques are then presented: the use of GA in the Arifovic “cobweb” model, using CS in a model of price setting developed by Moss, the role of GP in understanding decision making processes in a stock market model and relating evolutionary ideas to social science in a model of survival for “strict” churches. The chapter concludes with a discussion of the prospects and difficulties of using the idea of biological evolution in the social sciences.