Choosing the optimal strategy for a discrete dynamic cooperative game
DOI:
https://doi.org/10.17721/1812-5409.2025/2.28Keywords:
game theory, statistics, Markov chain, cooperative games, strategyAbstract
Game theory steadily expands across economics, sociology, and engineering. Improvements in computing power have facilitated the creation of mathematical models, the discovery of optimal solutions for diverse and complex problems, and the handling of large datasets. In recent years, game theory concepts have also been applied in the military domain and across all levels of security, including cybersecurity. A game involves the interaction of two or more rational players or teams, each pursuing specific strategies to compete for a given reward. Game theory provides the construction of an optimal strategy for such games. Game theory provides the framework for constructing an optimal strategy for such games. Moreover, game-theoretic approaches can be extended to developing algorithms that allow system developers to predict game outcomes in favor of a group of players, using complex game structures. This article explores research in game theory. A group of players, performing actions sequentially, aims to achieve the best possible result within a limited number of steps. Collected statistical data makes it possible to analyze optimal strategies practically. Based on game theory, the Markov model is also employed as a research method to achieve better outcomes in dynamic corporate games.
Pages of the article in the issue: 182 - 186
Language of the article: English
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Copyright (c) 2025 Viacheslav Tsurkan, Sergiy Martyniuk
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