Strong Equivalence for Epistemic Logic Programs Made Easy

Authors: Wolfgang Faber, Michael Morak, Stefan Woltran2809-2816

AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we consider a simpler, more direct characterization that is directly applicable to the language used in state-of-the-art ELP solvers. This also allows us to give tight complexity bounds, showing that strong equivalence for ELPs remains co NP-complete, as for ASP. We further use our results to provide syntactic characterizations for tautological rules and rule subsumption for ELPs.
Researcher Affiliation Academia Wolfgang Faber, Michael Morak Alpen-Adria-Universit at Klagenfurt Klagenfurt, Austria Stefan Woltran TU Wien Vienna, Austria
Pseudocode No The paper does not contain structured pseudocode or algorithm blocks. It focuses on formal definitions, theorems, and proofs related to strong equivalence in logic programs.
Open Source Code No The paper does not provide concrete access to source code for the methodology described. It mentions existing ELP solving systems but does not offer code for its own theoretical contributions.
Open Datasets No The paper is theoretical and does not use datasets for training, validation, or testing.
Dataset Splits No The paper is theoretical and does not use datasets, therefore no training/test/validation dataset splits are provided.
Hardware Specification No The paper is theoretical and does not describe any experiments, thus no specific hardware details are provided.
Software Dependencies No The paper is theoretical and does not describe any experiments, thus no specific ancillary software details with version numbers are provided for replication.
Experiment Setup No The paper is theoretical and does not describe any experiments, thus no specific experimental setup details like hyperparameters or training configurations are provided.