Reasoning about uncertain information and conflict resolution through trust revision

  • Authors:

  • Murat Sensoy;Achille Fokoue;Jeff Z. Pan;Timothy J. Norman;Yuqing Tang;Nir Oren;Katia Sycara

  • Affiliations:

  • Ozyegin University, Istanbul, Turkey;IBM, Yorktown Heights, NY, USA;University of Aberdeen, Aberdeen, United Kingdom;University of Aberdeen, Aberdeen, United Kingdom;Carnegie Mellon University, Pittsburgh, PA, USA;University of Aberdeen, Aberdeen, United Kingdom;Carnegie Mellon University, Pittsburgh, PA, USA

  • Venue:
  • Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
  • Year:
  • 2013

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Abstract

In information driven multi-agent systems, information consumers collect information about their environment from various sources such as sensors. Each source has its own limitations, capabilities, and goals. Therefore, there is no guarantee that a source will provide the requested information truthfully and correctly. Even if information is provided only by trustworthy sources, it can contain conflicts that hamper its usability. In this paper, we propose to exploit such conflicts to revise trust in information. This requires a reasoning mechanism that can accommodate domain constraints, uncertainty, and trust. Our formalism --- SDL-lite --- is an extension of a tractable subset of Description Logics with Dempster-Shafer theory of evidence. SDL-lite~ allows reasoning about uncertain information and enables conflict detection. Following the introduction of SDL-lite, we propose methods for conflict resolution through trust revision and analyse these methods under different settings through simulations. We show that the proposed methods allow reasonably accurate estimations of trust in information in realistic settings