Abstract
In this paper we introduce AASExts, an algorithm for computing semi–stable extensions. We improve techniques developed for other semantics, notably preferred semantics, as well as leverage recent advances in All-SAT community. We prove our proposed algorithm is sound and complete, we describe the experiments to select the most appropriate encoding to adopt, and we show empirically that our implementation significantly outperforms even sophisticated ASP-based and SAT-based reduction approaches on existing benchmarks.
Original language | English |
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Title of host publication | AIxIA 2020 – Advances in Artificial Intelligence |
Subtitle of host publication | XIXth International Conference of the Italian Association for Artificial Intelligence, Revised Selected Papers |
Editors | Matteo Baldoni, Stefania Bandini |
Place of Publication | Cham |
Publisher | Springer Nature Switzerland AG |
Pages | 117-135 |
Number of pages | 19 |
Volume | LNCS/LNAI 12414 |
Edition | 1st |
ISBN (Electronic) | 9783030770914 |
ISBN (Print) | 9783030770907 |
DOIs | |
Publication status | Published - 22 May 2021 |
Event | 19th International Conference of the Italian Association for Artificial Intelligence - Virtual, Online Duration: 24 Nov 2020 → 27 Nov 2020 Conference number: 19 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Publisher | Springer Nature Switzerland AG |
Volume | 12414 LNAI/LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th International Conference of the Italian Association for Artificial Intelligence |
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Abbreviated title | AIxIA 2020 |
City | Virtual, Online |
Period | 24/11/20 → 27/11/20 |