Monitoring interpersonal relationships through games with social dilemma

R.D. Gorbunov, E.I. Barakova, R.M.C. Ahn, G.W.M. Rauterberg

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    6 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    In this paper we introduce a method to monitor interpersonal relations through a game with a social dilemma. In the game players can interact with each other through negotiations and by exchanges of resources. To enable the monitoring of interpersonal relations this environment confronts players with specially selected instances of the game, where strategies based on different social factors (like helpfulness or fairness) will enforce different choices in the game. An evolutionary inspired optimization was used to find the games with the special social setting. The special selection of the games helps us to relate the observed actions directly to parameters that model strategies that the players are likely to adopt. Through an estimation of these parameters we are able to observe quantitative differences in the social preferences by different players. Moreover, we demonstrate that players play differently depending on whom they are interacting with. This strongly indicates that the observed playing styles can reveal certain aspects of the relations between players.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Evolutionary Computation Theory and Applications, ECTA 2011, 24-26 October 2011, Paris, France
    Place of PublicationS.l.
    PublisherSciTePress Digital Library
    Pages5-12
    ISBN (Print)978-989-8425-83-6
    DOIs
    Publication statusPublished - 2011
    Eventconference; International Conference on Evolutionary Computation Theory and Applications -
    Duration: 1 Jan 2011 → …

    Conference

    Conferenceconference; International Conference on Evolutionary Computation Theory and Applications
    Period1/01/11 → …
    OtherInternational Conference on Evolutionary Computation Theory and Applications

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