Article ID Journal Published Year Pages File Type
376908 Artificial Intelligence 2014 10 Pages PDF
Abstract

Standard models of multi-agent modal logic do not capture the fact that information is often ambiguous, and may be interpreted in different ways by different agents. We propose a framework that can model this, and consider different semantics that capture different assumptions about the agents' beliefs regarding whether or not there is ambiguity. We examine the expressive power of logics of ambiguity compared to logics that cannot model ambiguity, with respect to the different semantics that we propose.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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