Belief Revision: A Critique
Nir Friedman, Joseph Y. Halpern

TL;DR
This paper critically examines the foundational assumptions and methodological issues in belief revision literature, emphasizing the importance of explicit ontologies and modeling choices for understanding belief change.
Contribution
It highlights overlooked methodological problems and proposes a more explicit framework for modeling epistemic states and observations in belief revision.
Findings
Modeling epistemic states as richer structures is crucial.
Assumptions about the truth of observations are problematic.
Postulates in belief revision may be unreasonable when beliefs about the agent's own state are included.
Abstract
We examine carefully the rationale underlying the approaches to belief change taken in the literature, and highlight what we view as methodological problems. We argue that to study belief change carefully, we must be quite explicit about the ``ontology'' or scenario underlying the belief change process. This is something that has been missing in previous work, with its focus on postulates. Our analysis shows that we must pay particular attention to two issues that have often been taken for granted: The first is how we model the agent's epistemic state. (Do we use a set of beliefs, or a richer structure, such as an ordering on worlds? And if we use a set of beliefs, in what language are these beliefs are expressed?) We show that even postulates that have been called ``beyond controversy'' are unreasonable when the agent's beliefs include beliefs about her own epistemic state as well as…
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation · Bayesian Modeling and Causal Inference
