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Predicting opponent actions by bbservation

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorAler, Ricardo
dc.contributor.authorSanchis de Miguel, María Araceli
dc.contributor.authorBorrajo Millán, Daniel
dc.date.accessioned2009-11-30T13:12:45Z
dc.date.available2009-11-30T13:12:45Z
dc.date.issued2004
dc.description.abstractIn competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, based only on the observation of their input-output behavior. If opponent outputs could be accessed directly, a model can be constructed by feeding a machine learning method with traces of the opponent. However, that is not the case in the Robocup domain. To overcome this problem, in this paper we present a three phases approach to model low-level behavior of individual opponent agents. First, we build a classifier to label opponent actions based on observation. Second, our agent observes an opponent and labels its actions using the previous classifier. From these observations, a model is constructed to predict the opponent actions. Finally, the agent uses the model to anticipate opponent reactions. In this paper, we have presented a proof-of-principle of our approach, termed OMBO (Opponent Modeling Based on Observation), so that a striker agent can anticipate a goalie. Results show that scores are significantly higher using the acquired opponentrsquos model of actions.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationProceedings of: RoboCup 2004, Robot Soccer World Cup VIII, vol. 3276, p. 286-297
dc.identifier.doi10.1007/978-3-540-32256-6_23
dc.identifier.isbn978-3-540-25046-3
dc.identifier.issn0302-9743 (Print)
dc.identifier.issn1611-3349 (Online)
dc.identifier.publicationfirstpage286
dc.identifier.publicationlastpage297
dc.identifier.publicationtitleRoboCup 2004, Robot Soccer World Cup VIII
dc.identifier.publicationvolume3276
dc.identifier.urihttps://hdl.handle.net/10016/5868
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventplaceLisboa (Portugal)
dc.relation.eventtitleRoboCup 2004, Robot Soccer World Cup VIII
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-540-32256-6_23
dc.rights© Springer
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titlePredicting opponent actions by bbservation
dc.typeconference paper*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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