IJCAI 2022poster2 citations

Considering Constraint Monotonicity and Foundedness in Answer Set Programming

Yi-Dong Shen, Thomas Eiter

Abstract

Should the properties of constraint monotonicity and foundedness be mandatory requirements that every answer set and world view semantics must satisfy? This question is challenging and has incurred a debate in answer set programming (ASP). In this paper we address the question by introducing natural logic programs whose expected answer sets and world views violate these properties and thus may be viewed as counter-examples to these requirements. Specifically we use instances of the generalized strategic companies problem for ASP benchmark competitions as concrete examples to demonstrate that the requirements of constraint monotonicity and foundedness may exclude expected answer sets for some simple disjunctive programs and world views for some epistemic specifications. In conclusion these properties should not be mandatory conditions for an answer set and world view semantics in general.

Knowledge Representation and Reasoning: Logic ProgrammingKnowledge Representation and Reasoning: Non-monotonic ReasoningKnowledge Representation and Reasoning: Reasoning about Knowledge and Belief
BibTeX
@inproceedings{ijcai2022p380,
  title     = {Considering  Constraint Monotonicity and Foundedness in Answer Set Programming},
  author    = {Shen, Yi-Dong and Eiter, Thomas},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {2741--2747},
  year      = {2022},
  month     = {7},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2022/380},
  url       = {https://doi.org/10.24963/ijcai.2022/380},
}
Considering Constraint Monotonicity and Foundedness in Answer Set Programming · IJCAI 2022