AIJun 2, 2020

Descriptor Revision for Conditionals: Literal Descriptors and Conditional Preservation

arXiv:2006.01444v18 citations
Originality Synthesis-oriented
AI Analysis

This work addresses belief change for AI and logic researchers, but it is incremental as it extends existing frameworks with specific restrictions.

The paper tackles the problem of belief change in conditional logic by applying descriptor revision with literal descriptors and conditional preservation, showing it can be characterized as a constraint satisfaction problem and implemented using constraint logic programming, with results applicable to propositional logic as well.

Descriptor revision by Hansson is a framework for addressing the problem of belief change. In descriptor revision, different kinds of change processes are dealt with in a joint framework. Individual change requirements are qualified by specific success conditions expressed by a belief descriptor, and belief descriptors can be combined by logical connectives. This is in contrast to the currently dominating AGM paradigm shaped by Alchourrón, Gärdenfors, and Makinson, where different kinds of changes, like a revision or a contraction, are dealt with separately. In this article, we investigate the realisation of descriptor revision for a conditional logic while restricting descriptors to the conjunction of literal descriptors. We apply the principle of conditional preservation developed by Kern-Isberner to descriptor revision for conditionals, show how descriptor revision for conditionals under these restrictions can be characterised by a constraint satisfaction problem, and implement it using constraint logic programming. Since our conditional logic subsumes propositional logic, our approach also realises descriptor revision for propositional logic.

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