Antagonistic One-To-N Stochastic Duel Game

Song-Kyoo (Amang) Kim
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Song-Kyoo (Amang) Kim: School of Applied Sciences, Macao Polytechnic Institute, Macao

Mathematics, 2020, vol. 8, issue 7, 1-12

Abstract: This paper is dealing with a multiple person game model under the antagonistic duel type setup. The unique multiple person duel game with the one-shooting-to-kill-all condition is analytically solved and the explicit formulas are obtained to determine the time dependent duel game model by using the first exceed theory. The model could be directly applied into real-world situations and an analogue of the theory in the paper is designed for solving the best shooting time for hitting all other players at once which optimizes the payoff function under random time conditions. It also mathematically explains to build the marketing strategies for the entry timing for both blue and red ocean markets.

Keywords: duel game; multiple person game; stochastic model; fluctuation theory; strategic choice; time dependent game; blue ocean strategy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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