aspmc: New frontiers of algebraic answer set counting-Reference-Cited by-同舟云学术

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aspmc: New frontiers of algebraic answer set counting

Published:2024-05 Issue: Volume:330 Page:104109
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Eiter Thomas^ORCID,Hecher Markus^ORCID,Kiesel Rafael^ORCID

Funder

GFF NÖ

WWTF

FWF

Publisher

Elsevier BV

Reference122 articles.

1. Neural probabilistic logic programming in deepproblog;Manhaeve;Artif. Intell.,2021

2. Deep probabilistic logic programming;Fadja,2017

3. Neuro-symbolic inductive logic programming with logical neural networks;Sen,2022

4. On the connection of probabilistic model checking, planning, and learning for system verification;Klauck,2022

5. Representing dynamic biological networks with multi-scale probabilistic models;Groß;Commun. Biol.,2019

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