KR2024Proceedings of the 21st International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning

Hanoi, Vietnam. November 2-8, 2024.

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ISSN: 2334-1033
ISBN: 978-1-956792-05-8

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Copyright © 2024 International Joint Conferences on Artificial Intelligence Organization

Semantic Constructions for Belief Base Contraction: Partial Meet vs Smooth Kernel

  1. Jandson S. Ribeiro(Cardiff University, UK)

Keywords

  1. Belief change-General

Abstract

We introduce novel classes of fully rational contraction operators for belief bases. These operators are founded on a plausibility relation on models, called tracks, that allow distinguishing between suitable and unsuitable models.

We obtain three main representation theorems: the first one semantically characterises the class of partial-meet operators, which are related to the rationality postulate of relevance; while the second one semantically characterises the class of smooth kernel contraction operators, which are related to the postulates of core-retainment and relative closure. The third representation theorem semantically characterises the supplementary postulates (conjunction and intersection). We consider logics that are both Tarskian and compact.