cs.AIMay 10, 2026

Functional Stable Model Semantics and Answer Set Programming Modulo Theories

Authors: Michael BartholomewJoohyung Lee

Organizations: School of Computing, Informatics and Decision Systems Engineering Arizona State University, Tempe, USA

Abstract

Recently there has been an increasing interest in incorporating intensional'' functions in answer set programming. Intensional functions are those whose values can be described by other functions and predicates, rather than being pre-defined as in the standard answer set programming. We demonstrate that the functional stable model semantics plays an important role in the framework of Answer Set Programming Modulo Theories (ASPMT)'' -- a tight integration of answer set programming and satisfiability modulo theories, under which existing integration approaches can be viewed as special cases where the role of functions is limited. We show that ``tight'' ASPMT programs can be translated into SMT instances, which is similar to the known relationship between ASP and SAT.

Explore similar work

CardsList
  1. Distilling Answer Set Programming Theories from Large Language Models

    Jul 30, 2026Nelson Higuera Ruiz, Markus Hofmarcher, Claudiu Leoveanu-CondreiAnswer Set ProgrammingNeuro-Symbolic Framework