Application of the Iterated Prisoner's Dilemma and Evolutionary Game Theory in Siting Nuclear Power Plants in South Korea

IF 3.6 1区 数学 Q1 MATHEMATICS, APPLIED Mathematical Models & Methods in Applied Sciences Pub Date : 2022-10-07 DOI:10.46300/9101.2022.16.27
Young Kim
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引用次数: 1

Abstract

The quality of an urban living environment largely depends on the planning and development of public facilities, which are often halted or delayed due to the NIMBY (not in my backyard) phenomenon. In such facilities, environmental costs are borne solely by the residents of proximity to the facility, while public goods/services produced by the facility are reaped equally by residents across the greater region, which in turn presents a complex dynamic of public and self-interest. This paper uses repeated games and evolutionary game theory to identify the optimal negotiation strategy for the government when siting nuclear power plant facilities in South Korea. This study simulated a tournament containing 36 selected iterated prisoner's dilemma strategies and considered factors including mean payoff values, payoff matrices, and Axelrod's Ecological Variant to deduce an optimal strategy. The results showed that AON2, a memory-2 strategy of direct reciprocity, would provide the most stable and high return negotiations.
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迭代囚徒困境和进化博弈论在韩国核电厂选址中的应用
城市生活环境的质量在很大程度上取决于公共设施的规划和发展,而这些规划和发展往往因邻避(不在我家后院)现象而停止或推迟。在这些设施中,环境成本完全由设施附近的居民承担,而设施产生的公共产品/服务由更大区域的居民平均获得,这反过来又呈现出公共和自身利益的复杂动态。本文运用重复博弈和进化博弈理论,确定了韩国政府在核电站设施选址时的最优谈判策略。本研究模拟了一场包含36个选定迭代囚徒困境策略的比赛,并考虑了包括平均支付值、支付矩阵和阿克塞尔罗德生态变量在内的因素,以推断出最优策略。结果表明,直接互惠的记忆-2策略AON2能够提供最稳定的高回报谈判。
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来源期刊
CiteScore
6.30
自引率
17.10%
发文量
61
审稿时长
1 months
期刊介绍: The purpose of this journal is to provide a medium of exchange for scientists engaged in applied sciences (physics, mathematical physics, natural, and technological sciences) where there exists a non-trivial interplay between mathematics, mathematical modelling of real systems and mathematical and computer methods oriented towards the qualitative and quantitative analysis of real physical systems. The principal areas of interest of this journal are the following: 1.Mathematical modelling of systems in applied sciences; 2.Mathematical methods for the qualitative and quantitative analysis of models of mathematical physics and technological sciences; 3.Numerical and computer treatment of mathematical models or real systems. Special attention will be paid to the analysis of nonlinearities and stochastic aspects. Within the above limitation, scientists in all fields which employ mathematics are encouraged to submit research and review papers to the journal. Both theoretical and applied papers will be considered for publication. High quality, novelty of the content and potential for the applications to modern problems in applied sciences and technology will be the guidelines for the selection of papers to be published in the journal. This journal publishes only articles with original and innovative contents. Book reviews, announcements and tutorial articles will be featured occasionally.
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