A framework for using trust to assess risk in information sharing

  • Authors:
  • Chatschik Bisdikian;Yuqing Tang;Federico Cerutti;Nir Oren

  • Affiliations:
  • Thomas J. Watson Research Center, IBM Research Division, NY;Robotics Institute, Carnegie Mellon University, Pittsburgh, PA;School of Natural and Computing Science, University of Aberdeen, Aberdeen, UK;School of Natural and Computing Science, University of Aberdeen, Aberdeen, UK

  • Venue:
  • AT'13 Proceedings of the Second international conference on Agreement Technologies
  • Year:
  • 2013

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Abstract

In this paper we describe a decision process framework allowing an agent to decide what information it should reveal to its neighbours within a communication graph in order to maximise its utility. We assume that these neighbours can pass information onto others within the graph, and that the communicating agent gains and loses utility based on the information which can be inferred by specific agents following the original communicative act. To this end, we construct an initial model of information propagation and describe an optimal decision procedure for the agent.