Belief Expansion in Subset Models

Eveline Lehmann; Thomas Studer

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arXiv · 2310.03627

Belief Expansion in Subset Models

Eveline Lehmann·Thomas Studer

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Abstract

Subset models provide a new semantics for justifcation logic. The main idea of subset models is that evidence terms are interpreted as sets of possible worlds. A term then justifies a formula if that formula is true in each world of the interpretation of the term. In this paper, we introduce a belief expansion operator for subset models. We study the main properties of the resulting logic as well as the differences to a previous (symbolic) approach to belief expansion in justification logic.

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Eveline Lehmann, Thomas Studer. 2023-10-05. Belief Expansion in Subset Models. https://arxiv.org/abs/2310.03627

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