On The Solution Of N-Person Cooperative Games

P. Chigbu, S. Udeh
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Abstract

In this paper, two existing optimal allocation to N-person cooperative games are reviewed for comparison-The Shapley Value introduced by Shapley (1953) and the Nucleolus introduced by Schmeidler (1969). Given the nonempty Core of an N-person cooperative game, both optimal allocation procedures consider that one point of the Core is more efficient than the other points of the Core while the approaches to choosing the efficient allocation differ. Whereas Shapley employed the marginal contribution of the players into the game to achieve his aim, Schmeidler employed the extent of dissatisfaction to achieve his own aim. To choose the “best” of the optimal allocations, the Standard error and Coefficient of Variation of solutions were used to discriminate between the two procedures. When the two approaches were applied to the same sets of data, the Shapley value method produced smaller standard errors and coefficients of variation than the Nucleolus method. The Shapley value approach was therefore chosen as the better one for allocation (the value of the game) to an N-person cooperative game. Keywords : Characteristic Function; Coalition; Constant Sum Game; Imputation; Player ; Payoff; Strategy; The Core Global Journal of Mathematical Sciences Vol. 7 (1) 2008: pp. 49-52
论n人合作博弈的解
本文将比较现有的两种n人合作博弈的最优分配——Shapley(1953)引入的Shapley值和Schmeidler(1969)引入的Nucleolus。给定n人合作博弈的非空核心,两种最优分配程序都认为核心的一个点比其他点更有效,但选择有效分配的方法不同。Shapley利用球员对比赛的边际贡献来实现自己的目标,而Schmeidler则利用不满程度来实现自己的目标。为了从最优分配方案中选择“最佳”方案,采用标准误差和变异系数对两种方案进行了区分。当两种方法应用于同一组数据时,Shapley值法比Nucleolus方法产生更小的标准误差和变异系数。因此,Shapley值方法被选为n人合作博弈分配(博弈值)的较好方法。关键词:特征函数;联盟;常和对策;污名;球员;回报;策略;核心全球数学科学杂志Vol. 7 (1) 2008: pp. 49-52
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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