Haifa, Israel. July 31–August 5, 2022.
ISSN: 2334-1033
ISBN: 978-1-956792-01-0
Copyright © 2022 International Joint Conferences on Artificial Intelligence Organization
Consider the following belief change/merging scenario. A group of information sources give a sequence of reports about the state of the world at various instances (e.g. different points in time). The true states at these instances are unknown to us. The sources have varying levels of expertise, also unknown to us, and may be knowledgeable on some topics but not others. This may cause sources to report false statements in areas they lack expertise. What should we believe on the basis of these reports? We provide a framework in which to explore this problem, based on an extension of propositional logic with expertise formulas. This extended language allows us to express beliefs about the state of the world at each instance, as well as beliefs about the expertise of each source. We propose several postulates, provide a couple of families of concrete operators, and analyse these operators with respect to the postulates.