/Reasoning about Uncertain Information and Conflict Resolution through Trust Revision

Reasoning about Uncertain Information and Conflict Resolution through Trust Revision

Murat Sensoy, Achille Fokoue, Jeff Z. Pan, Timothy J. Norman, Yuqing Tang, Nir Oren and Katia Sycara
Conference Paper, Conference on Autonomous Agents and Multi Agent Systems (AAMAS), Minneapolis, MN, May, 2013

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Abstract

In information driven MAS, information consumers collect infor- mation about their environment from various sources such as sen- sors. However, there is no guarantee that a source will provide the requested information truthfully and correctly. Even if informa- tion is provided only by trustworthy sources, it can contain con- flicts that hamper its usability. In this paper, we propose to exploit such conflicts to revise trust in information. This requires a reason- ing mechanism that can accommodate domain constraints, uncer- tainty, 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 informa- tion 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.

BibTeX Reference
@conference{Sensoy-2013-7724,
author = {Murat Sensoy and Achille Fokoue and Jeff Z. Pan and Timothy J. Norman and Yuqing Tang and Nir Oren and Katia Sycara},
title = {Reasoning about Uncertain Information and Conflict Resolution through Trust Revision},
booktitle = {Conference on Autonomous Agents and Multi Agent Systems (AAMAS), Minneapolis, MN},
year = {2013},
month = {May},
keywords = {Information Fusion, Trust, Uncertainty, Description Logics},
}
2017-09-13T10:39:22+00:00