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Theoretical Analysis of Expected Payoff in an Adversarial Domain

dc.contributor.authorVillacorta Iglesias, Pablo José
dc.contributor.authorDavid Alejandro, Pelta Mochcovsky
dc.date.accessioned2023-12-11T07:24:53Z
dc.date.available2023-12-11T07:24:53Z
dc.date.issued2012-03
dc.identifier.citationVillacorta, 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.2011.09.031es_ES
dc.identifier.urihttps://hdl.handle.net/10481/86079
dc.description.abstractAdversarial 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.es_ES
dc.description.sponsorshipTIC-169: Modelos de Decisión y Optimización (MODO)es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.subjectexpected payoffes_ES
dc.subjectdecision makinges_ES
dc.subjectadversarial decision makinges_ES
dc.subjectimitation es_ES
dc.subjectgamees_ES
dc.subjectstrategieses_ES
dc.titleTheoretical Analysis of Expected Payoff in an Adversarial Domaines_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.ins.2011.09.031
dc.type.hasVersionSMURes_ES


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