Implementing Timed Petri net for Modeling and Simulation in Card Gameplay

Garrett Hope, Paul Brodhead, Seung-yun Kim
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引用次数: 1

Abstract

Petri nets (PNs) are a form of directed graph that can be used to model and simulate systems. They are very useful tool for developing and analyzing algorithms, prior to implementation. Adding the component of time, allows for systems with prioritized actions to be modeled more effectively. This paper assesses a Texas Hold’em algorithm using Petri nets and uses them to develop an improved version of this algorithm. Both are implemented in Python scripts to obtain the results to show which is more effective.
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卡牌游戏建模与仿真的定时Petri网实现
Petri网(PNs)是一种可用于系统建模和仿真的有向图。在实现之前,它们是开发和分析算法的非常有用的工具。添加时间组件,可以更有效地对具有优先级操作的系统进行建模。本文使用Petri网评估德克萨斯Hold 'em算法,并使用它们开发该算法的改进版本。两者都在Python脚本中实现,以获得结果以显示哪个更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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