Fuzzy Answer Set Computation via Satisfiability Modulo Theories
Mario Alviano, Rafael Penaloza

TL;DR
This paper introduces a translation approach of fuzzy answer set programming into satisfiability modulo theories, enabling efficient computation by exploiting structural properties and eliminating quantifiers in many cases.
Contribution
It presents novel translation techniques for FASP into SMT, reducing complexity and enabling practical computation with a prototype system.
Findings
Structural properties allow quantifier elimination in many FASP programs.
Elimination of head connectives simplifies the translation process.
Prototype implementation demonstrates practical effectiveness.
Abstract
Fuzzy answer set programming (FASP) combines two declarative frameworks, answer set programming and fuzzy logic, in order to model reasoning by default over imprecise information. Several connectives are available to combine different expressions; in particular the \Godel and \Luka fuzzy connectives are usually considered, due to their properties. Although the \Godel conjunction can be easily eliminated from rule heads, we show through complexity arguments that such a simplification is infeasible in general for all other connectives. %, even if bodies are restricted to \Luka or \Godel conjunctions. The paper analyzes a translation of FASP programs into satisfiability modulo theories~(SMT), which in general produces quantified formulas because of the minimality of the semantics. Structural properties of many FASP programs allow to eliminate the quantification, or to sensibly reduce the…
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