Penalty logic and its Link with Dempster-Shafer Theory
Florence Dupin de Saint-Cyr, Jerome Lang, Thomas Schiex

TL;DR
This paper explores penalty logic, a framework for handling inconsistent knowledge bases through penalties, and establishes its formal properties and connection to Dempster-Shafer theory, especially in the infinitesimal case.
Contribution
It provides a formalization of penalty logic, analyzes its properties, and reveals its relationship with Dempster-Shafer theory, enriching the understanding of non-monotonic reasoning.
Findings
Formal properties of penalty logic established
Connection between penalty logic and Dempster-Shafer theory demonstrated
Insights into non-monotonic inference in inconsistent knowledge bases
Abstract
Penalty logic, introduced by Pinkas, associates to each formula of a knowledge base the price to pay if this formula is violated. Penalties may be used as a criterion for selecting preferred consistent subsets in an inconsistent knowledge base, thus inducing a non-monotonic inference relation. A precise formalization and the main properties of penalty logic and of its associated non-monotonic inference relation are given in the first part. We also show that penalty logic and Dempster-Shafer theory are related, especially in the infinitesimal case.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Bayesian Modeling and Causal Inference · Semantic Web and Ontologies
