Exploring the Huge Multiverse of Agent-Based Simulation
Exploring the Huge Multiverse of Agent-Based Simulation
复制标题
探索基于代理的模拟的巨大多元宇宙
DOI：
10.1109/sice.2006.315131
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Takao Teranol
中科院分区：
文献类型：
--
作者：
Takao Teranol
本文研究了基于智能体的社会系统仿真的参数探索问题。我们重点介绍了反向模拟和基于遗传学的验证的原理。在传统的人工社会模型中，模拟是直接进行的：首先设置许多微观层面的参数和初始条件，然后执行模拟步骤，最后观察宏观层面的结果。与此不同，反向模拟以相反的顺序执行这些步骤：设置宏观级别的目标函数，进化世界以适应目标，然后观察微观级别的代理特征。我们方法的另一个独特之处在于，利用具有多峰多目标函数优化功能的遗传算法，我们能够验证解的敏感性。这意味着，从相同的初始条件和相同的目标函数，我们可以演化出不同的结果，这是我们在现实世界中经常观察到的现象。这就是基于遗传学的验证的原则
This paper addresses the problem regarding the parameter exploration of agent-based simulation for social systems. We focus on the principles of inverse simulation and genetics-based validation. In conventional artificial society models, the simulation is executed straightforwardly: initially, many micro-level parameters and initial conditions are set, then, the simulation steps are executed, and finally the macro-level results are observed. Unlike this, inverse simulation executes these steps in the reverse order: set a macro-level objective function, evolve the worlds to fit to the objectives, then observe the micro-level agent characteristics. Another unique point of our approach is that, using genetic algorithms with the functionalities of multi-modal and multi-objective function optimization, we are able to validate the sensitivity of the solutions. This means that, from the same initial conditions and the same objective function, we can evolve different results, which we often observe in real world phenomena. This is the principle of genetics-based validation
DOI：
--
发表时间：
2006
期刊：
Proceedings of SICE-ICASE International Joint Conference 2006(SICE-ICCAS 2006)
影响因子：
--
作者：
大堀耕太郎;高橋真吾;高橋真吾;Shingo Takahashi
通讯作者：
Shingo Takahashi