most citedWeighted Rules under the Stable Model Semantics

44 citations · 44 across the 2 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Cplus2ASP: Computing Action Language C+ in Answer Set Programming

Joseph Babb, Joohyung Lee

We present Version 2 of system Cplus2ASP, which implements the definite fragment of action language C+. Its input language is fully compatible with the language of the Causal Calcu…

cs.AI202644 cited

Weighted Rules under the Stable Model Semantics

Joohyung Lee, Yi Wang

We introduce the concept of weighted rules under the stable model semantics following the log-linear models of Markov Logic. This provides versatile methods to overcome the determi…

cs.AI2025

Action Language BC+

Joseph Babb, Joohyung Lee

Action languages are formal models of parts of natural language that are designed to describe effects of actions. Many of these languages can be viewed as high level notations of a…

cs.AI2025

Fuzzy Propositional Formulas under the Stable Model Semantics

Joohyung Lee, Yi Wang

We define a stable model semantics for fuzzy propositional formulas, which generalizes both fuzzy propositional logic and the stable model semantics of classical propositional form…

cs.AI2025

LPMLN, Weak Constraints, and P-log

Joohyung Lee, Zhun Yang

LPMLN is a recently introduced formalism that extends answer set programs by adopting the log-linear weight scheme of Markov Logic. This paper investigates the relationships betwee…

cs.AI2025

System ASPMT2SMT:Computing ASPMT Theories by SMT Solvers

Michael Bartholomew, Joohyung Lee

Answer Set Programming Modulo Theories (ASPMT) is an approach to combining answer set programming and satisfiability modulo theories based on the functional stable model semantics.…