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trust as a precursor to belief revision
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نویسنده
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booth r. ,hunter a.
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منبع
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journal of artificial intelligence research - 2018 - دوره : 61 - شماره : 0 - صفحه:699 -722
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چکیده
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Belief revision is concerned with incorporating new information into a pre-existing set of beliefs. when the new information comes from another agent, we must first determine if that agent should be trusted. in this paper, we define trust as a pre-processing step before revision. we emphasize that trust in an agent is often restricted to a particular domain of expertise. we demonstrate that this form of trust can be captured by associating a state partition with each agent, then relativizing all reports to this partition before revising. we position the resulting family of trust-sensitive revision operators within the class of selective revision operators of fermé and hansson, and we prove a representation result that characterizes the class of trust-sensitive revision operators in terms of a set of postulates. we also show that trust-sensitive revision is manipulable, in the sense that agents can sometimes have incentive to pass on misleading information. © 2018 ai access foundation. all rights reserved.
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آدرس
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cardiff university, uk, british columbia institute of technology, canada
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Authors
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