A Characterization of the Semantics of Logic Programs with Aggregates

Authors: Yuanlin Zhang, Maede Rayatidamavandi

IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we aim to understand these distinct semantics in a more uniform way. Particularly, by satisfiability, rationality and consistency principles, we are able to give a uniform and simple characterizations of the three major distinct types of answer set semantics. The full proof of all propositions in this paper can be found in [Rayatidamavandi and Zhang, 2016].
Researcher Affiliation Academia Yuanlin Zhang, Maede Rayatidamavandi Department of Computer Science, Texas Tech University {y.zhang, maede.rayatidamavandi}@ttu.edu
Pseudocode No The paper does not contain any pseudocode or algorithm blocks; it focuses on theoretical definitions and proofs.
Open Source Code No The paper does not mention providing open-source code for the methodology described.
Open Datasets No This is a theoretical paper focused on semantics and does not involve datasets, training, or public availability of datasets.
Dataset Splits No This is a theoretical paper and does not involve experimental validation or dataset splits.
Hardware Specification No This is a theoretical paper and does not describe any experiments that would require hardware specifications.
Software Dependencies No The paper is theoretical and does not discuss implementation details or software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe any experimental setup, hyperparameters, or training configurations.