Abstract
Answer set programming (ASP) is a well-established knowledge representation formalism. Most ASP solvers are based on (extensions of) technology from Boolean satisfiability solving. While these solvers have shown to be very succeßful in many practical applications, their strength is limited by their underlying proof system, resolution. In this paper, we present a new tool LP2PB that translates ASP programs into pseudo-Boolean theories, for which solvers based on the (stronger) cutting plane proof system exist. We evaluate our tool, and the potential of cutting-plane-based solving for ASP on traditional ASP benchmarks as well as benchmarks from pseudo-Boolean solving. Our results are mixed: overall, traditional ASP solvers still outperform our translational approach, but several benchmark families are identified where the balance shifts the other way, thereby suggesting that further investigation into a stronger proof system for ASP is valuable.
Original language | English |
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Title of host publication | Proceedings 36th International Conference on Logic Programming |
Subtitle of host publication | (Technical Communications) |
Publisher | Open Publishing Association |
Pages | 206-219 |
DOIs | |
Publication status | Published - 2020 |
Event | The 36th International Conference on Logic Programming - Rende, Italy Duration: 18 Sep 2020 → 25 Sep 2020 Conference number: 36 https://iclp2020.unical.it/ |
Publication series
Name | Electronic Proceedings in Theoretical Computer Science |
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Publisher | Open Publishing Association |
Volume | 325 |
ISSN (Print) | 2075-2180 |
ISSN (Electronic) | 2075-2180 |
Conference
Conference | The 36th International Conference on Logic Programming |
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Abbreviated title | ICLP2020 |
Country | Italy |
City | Rende |
Period | 18/09/20 → 25/09/20 |
Internet address |