Detailed Information on Publication Record
2020
Rotation Based MSS/MCS Enumeration
BENDÍK, Jaroslav and Ivana ČERNÁBasic information
Original name
Rotation Based MSS/MCS Enumeration
Authors
BENDÍK, Jaroslav (203 Czech Republic, guarantor, belonging to the institution) and Ivana ČERNÁ (203 Czech Republic, belonging to the institution)
Edition
Neuveden, LPAR 2020: 23rd International Conference on Logic for Programming, Artificial Intelligence and Reasoning, p. 120-137, 18 pp. 2020
Publisher
EPiC Series in Computing
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/20:00115569
Organization unit
Faculty of Informatics
ISSN
Keywords in English
Maximal Satisfiable Subsets;Minimal Correction Subsets;Infeasibility Analysis;Diagnosis;MSS;MCS
Tags
International impact, Reviewed
Změněno: 10/5/2021 05:46, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Given an unsatisfiable Boolean Formula F in CNF, i.e., a set of clauses, one is often interested in identifying Maximal Satisfiable Subsets (MSSes) of F or, equivalently, the complements of MSSes called Minimal Correction Subsets (MCSes). Since MSSes (MCSes) find applications in many domains, e.g. diagnosis, ontologies debugging, or axiom pinpointing, several MSS enumeration algorithms have been proposed. Unfortunately, finding even a single MSS is often very hard since it naturally subsumes repeatedly solving the satisfiability problem. Moreover, there can be up to exponentially many MSSes, thus their complete enumeration is often practically intractable. Therefore, the algorithms tend to identify as many MSSes as possible within a given time limit. In this work, we present a novel MSS enumeration algorithm called RIME. Compared to existing algorithms, RIME is much more frugal in the number of performed satisfiability checks which we witness via an experimental comparison. Moreover, RIME is several times faster than existing tools.
Links
EF16_019/0000822, research and development project |
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MUNI/A/1050/2019, interní kód MU |
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MUNI/A/1076/2019, interní kód MU |
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