Computing Stable Models of Normal Logic Programs Without Grounding
Not on the map. Why?
Abstract (arXiv)
We present a method for computing stable models of normal logic programs, i.e., logic programs extended with negation, in the presence of predicates with arbitrary terms. Such programs need not have a finite grounding, so traditional methods do not apply. Our method relies on the use of a non-Herbrand universe, as well as coinduction, constructive negation and a number of other novel techniques. Using our method, a normal logic program with predicates can be executed directly under the stable model semantics without requiring it to be grounded either before or during execution and without requiring that its variables range over a finite domain. As a result, our method is quite general and supports the use of terms as arguments, including lists and complex data structures. A prototype implementation and non-trivial applications have been developed to demonstrate the feasibility of our method.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Sep 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 5; 2022: 1; 2023: 0; 2024: 3.
9 papers.
- 2021CASPR: A Commonsense Reasoning-based Conversational Socialbotcited by 6
- 2024SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoningcited by 6
- 2021Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programmingcited by 4
- 2021An ASP-based Approach to Answering Natural Language Questions for Textscited by 3
- 2022Specifying and Exploiting Non-Monotonic Domain-Specific Declarative Heuristics in Answer Set Programmingcited by 2
- 2021grASP: A Graph Based ASP-Solver and Justification Systemcited by 1
- 2021Towards Dynamic Consistency Checking in Goal-directed Predicate Answer Set Programmingcited by 1
- 2024Automated legal reasoning with discretion to act using s(LAW)cited by 1
- 2024Fast Inference for Probabilistic Answer Set Programs via the Residual Programcited by 0
- 2024Fast Inference for Probabilistic Answer Set Programs via the Residual Program14 Aug 2024
- 2024SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoning20 Feb 2024
- 2024Automated legal reasoning with discretion to act using s(LAW)25 Jan 2024
- 2022Specifying and Exploiting Non-Monotonic Domain-Specific Declarative Heuristics in Answer Set Programming19 Sep 2022
- 2021An ASP-based Approach to Answering Natural Language Questions for Texts21 Dec 2021
- 2021Towards Dynamic Consistency Checking in Goal-directed Predicate Answer Set Programming22 Oct 2021
- 2021CASPR: A Commonsense Reasoning-based Conversational Socialbot11 Oct 2021
- 2021Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programming28 Jun 2021
- 2021grASP: A Graph Based ASP-Solver and Justification System2 Apr 2021