Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics

作者:

摘要

Belief revision of knowledge bases represented by a set of sentences in a given logic has been extensively studied but for specific logics, mainly propositional, and also recently Horn and description logics. Here, we propose to generalize this operation from a model-theoretic point of view, by defining revision in the abstract model theory of satisfaction systems. In this framework, we generalize to any satisfaction system the characterization of the AGM postulates given by Katsuno and Mendelzon for propositional logic in terms of minimal change among interpretations. In this generalization, the constraint on syntax independence is partially relaxed. Moreover, we study how to define revision, satisfying these weakened AGM postulates, from relaxation notions that have been first introduced in description logics to define dissimilarity measures between concepts, and the consequence of which is to relax the set of models of the old belief until it becomes consistent with the new pieces of knowledge. We show how the proposed general framework can be instantiated in different logics such as propositional, first-order, description and Horn logics. In particular for description logics, we introduce several concrete relaxation operators tailored for the description logic ALC and its fragments EL and ELU, discuss their properties and provide some illustrative examples.

论文关键词:Abstract belief revision,Relaxation,AGM theory,Satisfaction systems,Description logics

论文评审过程:Received 13 November 2015, Revised 7 July 2017, Accepted 11 December 2017, Available online 17 December 2017, Version of Record 9 March 2018.

论文官网地址:https://doi.org/10.1016/j.artint.2017.12.002