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Eclingo

  • We describe eclingo, a solver for epistemic logic programs under Gelfond 1991 semantics built upon the Answer Set Programming system clingo. The input language of eclingo uses the syntax extension capabilities of clingo to define subjective literals that, as usual in epistemic logic programs, allow for checking the truth of a regular literal in all or in some of the answer sets of a program. The eclingo solving process follows a guess and check strategy. It first generates potential truth values for subjective literals and, in a second step, it checks the obtained result with respect to the cautious and brave consequences of the program. This process is implemented using the multi-shot functionalities of clingo. We have also implemented some optimisations, aiming at reducing the search space and, therefore, increasing eclingo 's efficiency in some scenarios. Finally, we compare the efficiency of eclingo with two state-of-the-art solvers for epistemic logic programs on a pair of benchmark scenarios and show that eclingo generallyWe describe eclingo, a solver for epistemic logic programs under Gelfond 1991 semantics built upon the Answer Set Programming system clingo. The input language of eclingo uses the syntax extension capabilities of clingo to define subjective literals that, as usual in epistemic logic programs, allow for checking the truth of a regular literal in all or in some of the answer sets of a program. The eclingo solving process follows a guess and check strategy. It first generates potential truth values for subjective literals and, in a second step, it checks the obtained result with respect to the cautious and brave consequences of the program. This process is implemented using the multi-shot functionalities of clingo. We have also implemented some optimisations, aiming at reducing the search space and, therefore, increasing eclingo 's efficiency in some scenarios. Finally, we compare the efficiency of eclingo with two state-of-the-art solvers for epistemic logic programs on a pair of benchmark scenarios and show that eclingo generally outperforms their obtained results.show moreshow less

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Author details:Pedro CabalarORCiDGND, Jorge FandinnoORCiD, Javier Garea, Javier RomeroORCiD, Torsten H. SchaubORCiDGND
DOI:https://doi.org/10.1017/S1471068420000228
ISSN:1471-0684
ISSN:1475-3081
Title of parent work (English):Theory and practice of logic programming
Subtitle (English):a solver for epistemic logic programs
Publisher:Cambridge Univ. Press
Place of publishing:New York
Publication type:Article
Language:English
Date of first publication:2020/09/22
Publication year:2020
Release date:2023/03/27
Tag:Answer Set Programming; Conformant Planning; Epistemic Logic Programs; Non-Monotonic; Reasoning
Volume:20
Issue:6
Article number:PII S1471068420000228
Number of pages:14
First page:834
Last Page:847
Funding institution:MINECO, Spain [TIC2017-84453-P]; Alexander von Humboldt Foundation,; GermanyAlexander von Humboldt Foundation; CITIC, Research Center of the; Galician University System - Consellera de Educacion, Universidade e; Formacion Profesional (Xunta de Galicia)Xunta de Galicia; ERDFEuropean; Commission [ED431G 2019/01]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
Peer review:Referiert
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