New Polynomial Classes for Logic-Based Abduction
B. Zanuttini

TL;DR
This paper introduces new polynomial classes for propositional logic-based abduction by proposing a general algorithm and analyzing restrictions on knowledge base representations.
Contribution
It presents a general projection-based algorithm and identifies new polynomial classes of abduction problems under specific restrictions.
Findings
New polynomial classes for abduction problems identified.
A general algorithm based on projection is proposed.
Restrictions on knowledge base representations enable polynomial-time solutions.
Abstract
We address the problem of propositional logic-based abduction, i.e., the problem of searching for a best explanation for a given propositional observation according to a given propositional knowledge base. We give a general algorithm, based on the notion of projection; then we study restrictions over the representations of the knowledge base and of the query, and find new polynomial classes of abduction problems.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Bayesian Modeling and Causal Inference · Semantic Web and Ontologies
