arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2103.02803math.OCmath.PR
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鲁棒两两n人随机对弈

Robust Pairwise n-Person Stochastic Duel Game

Song-Kyoo Kim

摘要:

本文研究的是另一种对抗决斗型设置下的多人对策模型。利用首次超过理论,对最灵活多人决斗对策进行了解析求解,并给出了确定不定常决斗对策模型的显式公式。与传统的二人决斗游戏不同,本文引入了多个战场,每个战场都成为两个玩家的射击场。该模型针对现实世界的情况,特别是选定的目标射击场景。本文设计了一个求解多战场最佳射击时机的模拟器。这个新提出的模型是完全数学解释,以适应在各个领域,包括战略和业务。

英文摘要:

This paper is dealing with another multiple person game model under the antagonistic duel type setup. The most flexible multiple person duel game is analytically solved and the explicit formulas are solved to determine the time dependent duel game model by using the first exceed theory. Unlike conventional two-person duel game, multiple battle fields are introduced in the paper and each battle field becomes shooting ground of pairwise players. This model is targeted for real-world situations especially for selected target shooting scenarios. An analogue of the theory in the paper is designed for solving the best shooting time within multiple battle fields. This new proposed model is fully mathematically explained to be adapted in various domains including the strategies and operations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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