Existence of optimal strategies in bimatrix game and applications

IF 3.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Sana Afreen, Ajay Kumar Bhurjee
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引用次数: 0

Abstract

This paper delves into interval-valued bimatrix games, where precise payoffs remain elusive, but lower and upper bounds on payoffs can be determined. The study explores several key questions in this context. Firstly, it addresses the issue of the existence of a universally applicable equilibrium across all instances of interval values. The paper establishes a fundamental equivalence by demonstrating that this property hinges on the solvability of a specific system of interval linear inequalities. Secondly, the research endeavors to characterize the comprehensive set of weak and strong equilibrium using a system of interval linear inequalities. The findings in this paper shed light on the complexities and intricacies of interval-valued bimatrix games, offering valuable insights into their equilibrium properties and computational aspects. Through illustrative examples, we underscore the practical utility of these approaches and compare them with previously developed state-of-the-art methods, demonstrating their ability to generate conservative solutions in the face of interval uncertainty. The findings of this research not only offer valuable insights into the equilibrium properties and computational aspects of interval-valued bimatrix games but extend their practical implications. In particular, the paper delves into real-life applications, exemplifying the significance of these findings for crude oil trading decision-making.

Abstract Image

双矩阵博弈中最优策略的存在及其应用
本文深入研究了区间值双矩阵博弈,在这种博弈中,精确的报酬仍然难以捉摸,但报酬的下限和上限却可以确定。本研究探讨了这一背景下的几个关键问题。首先,它探讨了在所有区间值实例中是否存在普遍适用的均衡的问题。论文通过证明这一特性取决于特定区间线性不等式系统的可解性,建立了基本等价关系。其次,研究试图利用区间线性不等式系统来描述弱均衡和强均衡的综合特征。本文的发现揭示了区间值双矩阵博弈的复杂性和错综复杂性,为其均衡特性和计算方面提供了宝贵的见解。通过举例说明,我们强调了这些方法的实用性,并将它们与之前开发的最先进方法进行了比较,证明了它们在面对区间不确定性时生成保守解的能力。这项研究的发现不仅为区间值二矩阵博弈的均衡特性和计算方面提供了宝贵的见解,还扩展了它们的实际意义。特别是,论文深入探讨了现实生活中的应用,举例说明了这些发现对原油交易决策的重要意义。
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
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning 工程技术-计算机:人工智能
CiteScore
6.90
自引率
12.80%
发文量
170
审稿时长
67 days
期刊介绍: The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest. Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning. Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.
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