Exploring the Benefits of Representing Multiplayer Game Data in a Coordinate System

IF 1.2 Q2 MATHEMATICS, APPLIED
Mekdad Slime, Mohammed El Kamli, Abdellah Ould Khal
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引用次数: 0

Abstract

In the realm of game theory, a range of mathematical approaches exists for the representation of game data, with the extensive form (depicted as a game tree) and the normal form (illustrated as a payoff matrix) standing out as the most prevalent. However, a significant drawback associated with these approaches is their limited scalability. As the number of players or their strategic options increases, these techniques progressively lose their feasibility and become less practical for meaningful analysis. The present work proposes an alternative approach that significantly enhances the representation of data in two- or three-player games. Within this framework, the conventional payoff matrix is substituted with a payoff coordinate system, employing a coordinate plane for two-player games and a coordinate space for three-player games. This approach offers numerous advantages when compared to other methods. For instance, the Nash equilibrium can be readily identified within a game without requiring an extensive duration to exhaustively examine all strategies for its determination. By employing this approach, the representation of game data becomes more convenient and efficient, making it easier to analyze and comprehend the underlying strategies employed by players.
探讨用坐标系统表示多人游戏数据的好处
在博弈论领域中,存在一系列用于表示游戏数据的数学方法,其中扩展形式(如游戏树)和标准形式(如收益矩阵)最为普遍。然而,与这些方法相关的一个重要缺点是它们有限的可伸缩性。随着玩家数量或他们的战略选择的增加,这些技术逐渐失去了可行性,对有意义的分析变得不那么实用。目前的工作提出了一种替代方法,可以显着增强二人或三人游戏中的数据表示。在这个框架中,传统的收益矩阵被收益坐标系统所取代,双人博弈使用坐标平面,三人博弈使用坐标空间。与其他方法相比,这种方法具有许多优点。例如,纳什均衡可以很容易地在游戏中确定,而不需要大量的时间来详尽地检查所有策略的决定。通过使用这种方法,游戏数据的表示变得更加方便和有效,从而更容易分析和理解玩家所使用的潜在策略。
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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来源期刊
Journal of Applied Mathematics
Journal of Applied Mathematics MATHEMATICS, APPLIED-
CiteScore
2.70
自引率
0.00%
发文量
58
审稿时长
3.2 months
期刊介绍: Journal of Applied Mathematics is a refereed journal devoted to the publication of original research papers and review articles in all areas of applied, computational, and industrial mathematics.
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