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dc.contributor.authorPollock, Shawn S.
dc.contributor.authorAlt, Jonathan K.
dc.contributor.authorDarken, Christian J.
dc.contributor.otherMOVES Institute
dc.date2011
dc.date.accessioned2013-09-25T22:58:01Z
dc.date.available2013-09-25T22:58:01Z
dc.date.issued2011
dc.identifier.citationProceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP'11), 2011, pp. 301-308.
dc.identifier.urihttp://hdl.handle.net/10945/36617
dc.description.abstractTrust plays a critical role in communications, strength of relationships, and information processing at the individual and group level. Cognitive social simulations show promise in providing an experimental platform for the examination of social phenomena such as trust formation. This paper describes the initial attempts at representation of trust in a cognitive social simulation using reinforcement learning algorithms centered around a cooperative Public Commodity game within a dynamic social network.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleRepresenting Trust in cognitive social simulationsen_US
dc.contributor.corporateNaval Postgraduate School, Monterey, California
dc.contributor.departmentComputer Science (CS)
dc.subject.authortrusten_US
dc.subject.authorcognitionen_US
dc.subject.authorsocietyen_US


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