Theoretical Analysis of Expected Payoff in an Adversarial Domain

Villacorta Iglesias, Pablo José; David Alejandro, Pelta Mochcovsky

doi:10.1016/j.ins.2011.09.031

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Identificadores

URI: https://hdl.handle.net/10481/86079

DOI: 10.1016/j.ins.2011.09.031

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Editorial

Elsevier

Materia

expected payoff

decision making

adversarial decision making

imitation

game

strategies

Date

2012-03

Referencia bibliográfica

Villacorta, P.J., and Pelta, D.A. (2012). Theoretical Analysis of Expected Payoff in an Adversarial Domain. Information Sciences, 186 (1), 93-104. https://doi.org/10.1016/j.ins.2011.09.031

Sponsorship

TIC-169: Modelos de Decisión y Optimización (MODO)

Abstract

Adversarial decision making is aimed at finding strategies for dealing with an adversary who observes our decisions and tries to learn our behaviour pattern. Based on a simple mathematical model, the present contribution provides analytical expressions for the expected payoff when using simple strategies which try to balance confusion and payoff. Additional insights are provided regarding the structure of the payoff matrix. Computational experiments show the agreement between theoretical expressions and empirical simulations, thus paving the way to make the assessment of new strategies easier.

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