
A study of the strategies of the combinatorial game
- 1 Xi'an University of Architecture and Technology
* Author to whom correspondence should be addressed.
Abstract
The combinatorial game theory is not only a new branch of modern mathematics but also an important subject of operations research. One basic combinatorial game can develop many different rules and different strategies to solve the problems, and both the rules and strategies follow the fundamental game theory to give the answer for the new version of the combinatorial game, such as the Nim game, one of the most basic combinatorial games, which has been researched for many years by a large number of researchers. This paper shows and extends the strategies of two combinatorial games, Tic-Tac-Toe and Green Hackenbush, based on the regular version which is connected with the combinatorial game theory.
Keywords
combinatorial games, green hackenbush, game theory, tic-tac-toe
[1]. Inan, M. S. K., Hasan, R. and Prama, T. T. (2021). An Integrated Expert System with a Supervised Machine Learning based Probabilistic Approach to Play Tic-Tac-Toe. 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA. 0116-0120. doi: 10.1109/UEMCON53757.2021.9666728.
[2]. Crowley, K. and Siegler, R. S. (1993). Flexible strategy use in young children's tic-tac-toe. Cognitive Science 17(4), 531-561.
[3]. Stewart, F. (2012). Mis`ere Hackenbush is NP-Hard. https://doi.org/10.48550/arXiv.1202.4658.
[4]. CSDN. Move first, and become unbeatable: Strategy study of different Tic-tac-toe (2022). https://blog.csdn.net/weixin_44492824/article/details/127149880.
[5]. Larsson, U., Nowakowski, R. J. and Santos, C. P. (2019). Scoring games: the state of play. Games of no chance 5, 89-111. http://library.msri.org/books/Book70/files/1003.pdf.
[6]. Sampson, J. (2017). Mean Value of Red-Blue-Green Hackenbush Trees. https://www.wittenberg.edu/sites/default/files/media/Thesis.pdf.
[7]. Kostreva, M. M. (2002). Combinatorial Opimization In Nash Games. Computers & Mathematics with Applications 25(10-11), 27-34. https://doi.org/10.1016/0898-1221(93)90278-4.
[8]. Nowakowski, R. J. (2019). Unsolved problems in combinatorial games. Games of no chance 5, 125-168.
[9]. Drori, I. et al. (2020). Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 19-24. doi: 10.1109/ICMLA51294.2020.00013.
Cite this article
Wu,Q. (2023). A study of the strategies of the combinatorial game. Applied and Computational Engineering,17,53-59.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 5th International Conference on Computing and Data Science
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).