Query Answering in Propositional Circumscription

Authors: Mario Alviano

IJCAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental A prototypical implementation is tested on instances from the 2nd International Competition on Computational Models of Argumentation.
Researcher Affiliation Academia Mario Alviano University of Calabria alviano@mat.unical.it
Pseudocode Yes Algorithm 1: Anwer Query(Γ, O, q); Algorithm 2: Anwer Query(Γ, O {q}, q); Algorithm 3: Anwer Query(Γ, O {q}, q); Algorithm 4: Incomplete Anwer Query(Γ, O, q)
Open Source Code No The paper mentions that Algorithm 1 has been implemented in the solver CIRCUMSCRIPTINO [Alviano, 2017b] and used by PYGLAF, which are existing, cited tools. It does not provide a new open-source release or a link to specific code for the algorithms presented in this paper.
Open Datasets Yes The experiment comprises instances from ICCMA 17 related to credulous (DC) and skeptical (DS) acceptance problems for preferred (PR) and semi-stable (SST) semantics... [Gaggl et al., 2016]
Dataset Splits No The paper states 'Each benchmark comprises 350 testcases' but does not specify how these instances were split into training, validation, or test sets for their experiments. No explicit validation split information is provided.
Hardware Specification Yes was run on an Intel Xeon 2.4 GHz with 16 GB of memory, and time and memory were limited to 10 minutes and 15 GB, respectively.
Software Dependencies Yes Model searches (i.e., function solve) are performed by means of the SAT solver GLUCOSE 4.1 [Audemard and Simon, 2009], with its default configuration.
Experiment Setup Yes The experiment... was run on an Intel Xeon 2.4 GHz with 16 GB of memory, and time and memory were limited to 10 minutes and 15 GB, respectively.