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Ferreira, M. A. M. & Matos, M. C. (2020). Implementing and solving games with best payoff method. In Manuel Alberto M. Ferreira (Ed.), Theory and practice of mathematics and computer science. (pp. 61-69). West Bengal: Book Publisher International.
M. A. Ferreira and M. C. Matos, "Implementing and solving games with best payoff method", in Theory and practice of mathematics and computer science, Manuel Alberto M. Ferreira, Ed., West Bengal, Book Publisher International, 2020, vol. 2, pp. 61-69
@incollection{ferreira2020_1731979659352, author = "Ferreira, M. A. M. and Matos, M. C.", title = "Implementing and solving games with best payoff method", chapter = "", booktitle = "Theory and practice of mathematics and computer science", year = "2020", volume = "2", series = "", edition = "", pages = "61-61", publisher = "Book Publisher International", address = "West Bengal", url = "https://bp.bookpi.org/index.php/bpi/catalog/book/271" }
TY - CHAP TI - Implementing and solving games with best payoff method T2 - Theory and practice of mathematics and computer science VL - 2 AU - Ferreira, M. A. M. AU - Matos, M. C. PY - 2020 SP - 61-69 DO - 10.9734/bpi/tpmcs/v2 CY - West Bengal UR - https://bp.bookpi.org/index.php/bpi/catalog/book/271 AB - It is our intention, in this chapter, to propose and discuss the Best Payoff Method, a new method to resolve games. This is made exemplifying the application of the method to a pay raise voting game, that is a perfect information sequential game, without having yet formulated it, and then deploying the algorithm for its implementation. In the next examples we consider an imperfect information game and a game with random characteristics. We finish confronting the equilibrium concepts mentioned in this work: Subgame Perfect Nash Equilibrium, Nash Equilibrium, and Best Payoff Equilibrium through the formulation of some conjectures, and with a short conclusions section. ER -