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    Computational models of trust for cooperative evolution. Reputation based game theoretic models of trust for cooperative evolution in online business games.

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    Publication date
    2010-09-01T14:46:18Z
    Author
    Bista, Sanat K.
    Supervisor
    Dahal, Keshav P.
    Cowling, Peter I.
    Keyword
    Trust
    Cooperative evolution
    Online business games
    e-marketplaces
    Social networking sites
    Online gaming
    Trustworthiness
    Game theory
    Computational modelling
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    Department of Computing
    Awarded
    2010
    
    Metadata
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    Abstract
    Online services such as e-marketplaces, social networking sites, online gaming environments etc have grown in popularity in the recent years. These services represent situation where participants do not get to negotiate face to face before interaction and most of the time parties to transaction remain anonymous. It is thus necessary to have a system that rightly assesses trustworthiness of the other party in order to maintain quality assurance in such systems. Recent works on Trust and Reputation in online communities have focused on identifying probable defaulters, but less effort has been put to come up with system that make cooperation attractive over defection in order to achieve cooperation without enforcement. Our work in this regard concerns design and investigation of trust assessment systems that not only filter defaulters but also promote evolution of cooperativeness in player society. Based on the concept of game theory and prisoner¿s dilemma, we model business games and design incentive method, compensation method, acquaintance based assessment method and decision theoretic assessment method as mechanisms to assure trustworthiness in online business environments. Effectiveness of each of these methods in promoting the evolution of cooperation in player society has been investigated. Our results show that these methods contribute positively in promoting cooperative evolution. We have further extended our trust assessment model to suit the needs of a mobile ad-hoc network setting. The effectiveness of this model has been tested against its capability to reduce packet drop rate and energy conservation. In both of these the results show promise.
    URI
    http://hdl.handle.net/10454/4424
    Type
    Thesis
    Qualification name
    PhD
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