Relevance for SAT(ID)

Authors: Joachim Jansen, Bart Bogaerts, Jo Devriendt, Gerda Janssens, Marc Denecker

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

Reproducibility Variable Result LLM Response
Research Type Experimental In order to empirically evaluate our proposed approach, we adjusted the IDP3 system [De Cat et al., 2016] and its underlying solver MINISAT(ID) [De Cat et al., 2013] to take relevance into account.
Researcher Affiliation Academia F KU Leuven, Leuven, Belgium, firstname.lastname@kuleuven.be Aalto University, Espoo, Finland, bart.bogaerts@aalto.fi
Pseudocode No The paper does not contain structured pseudocode or algorithm blocks.
Open Source Code Yes The complete set of experiments and information on how to run them can be found at https://dtai.cs.kuleuven.be/static/krr/ files/experiments/idp relevance experiments.tar.gz .
Open Datasets Yes For these experiments we selected problems from previous ASP competitions that could be encoded without the use of aggregates and functions, since we do not yet support these language constructs.
Dataset Splits No The paper refers to problems from ASP competitions and a crafted example, but does not specify details on train/validation/test splits, sample counts, or cross-validation setup for these datasets.
Hardware Specification Yes We ran these problems on an Intel(R) Xeon(R) CPU E5645 @ 2.40GHz CPU, using a time limit of 7200 seconds and a memory limit of 8Gi B.
Software Dependencies No The paper mentions adjusting 'the IDP3 system [De Cat et al., 2016] and its underlying solver MINISAT(ID) [De Cat et al., 2013]' but does not provide specific version numbers for these software components.
Experiment Setup Yes For these experiments we selected problems from previous ASP competitions... We ran these problems on an Intel(R) Xeon(R) CPU E5645 @ 2.40GHz CPU, using a time limit of 7200 seconds and a memory limit of 8Gi B. To answer (Q1) we ran all the above problems and their instances with a solver configuration that uses the VSIDS heuristic