Reasoning about Uncertain Information and Conflict Resolution through Trust Revision

Murat Sensoy, Achille Fokoue, Jeff Z Pan, Timothy J Norman, Yuqing Tang, Nir Oren, Katia P Sycara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)
4 Downloads (Pure)

Abstract

In information driven MAS, information consumers collect information about their environment from various sources such as sensors. However, 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. Then, we propose methods for conflict resolution through trust revision and analyse them through simulations. We show that the proposed methods allow reasonably accurate estimations of trust in information in realistic settings.
Original languageEnglish
Title of host publicationProceedings of the Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013)
PublisherIFAAMAS
Pages837-844
Number of pages8
Publication statusPublished - 2013
Event12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 - Saint Paul, MN, United States
Duration: 6 May 201310 May 2013

Conference

Conference12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013
CountryUnited States
CitySaint Paul, MN
Period6/05/1310/05/13

Keywords

  • Information Fusion
  • Trust
  • Uncertainty
  • description logic

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