Implementing Timed Petri net for Modeling and Simulation in Card Gameplay

10 pages•Published: March 9, 2020

Garrett Hope, Paul Brodhead and Seung-yun Kim

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.

Keyphrases: artificial intelligence, modeling and simulation, petri nets, time petri nets

In: Gordon Lee and Ying Jin (editors). Proceedings of 35th International Conference on Computers and Their Applications, vol 69, pages 297-306.

Links:	https://easychair.org/publications/paper/hmTj
	https://doi.org/10.29007/htqb

BibTeX entry

@inproceedings{CATA2020:Implementing_Timed_Petri_net,
  author    = {Garrett Hope and Paul Brodhead and Seung-yun Kim},
  title     = {Implementing Timed Petri net for Modeling and Simulation in Card Gameplay},
  booktitle = {Proceedings of 35th International Conference on Computers and Their Applications},
  editor    = {Gordon Lee and Ying Jin},
  series    = {EPiC Series in Computing},
  volume    = {69},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/hmTj},
  doi       = {10.29007/htqb},
  pages     = {297-306},
  year      = {2020}}

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