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Digit@LTH: Events

Seminar: Pseudo-Boolean Solvers for Answer Set Programming

Seminarium

From: 2020-05-08 13:30
Place: https://lu-se.zoom.us/j/68603505710
Contact: jakob [dot] nordstrom [at] cs [dot] lth [dot] se
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Speaker: Bart Bogaerts, Vrije Universiteit Brussel

When: Friday May 8 at 13:15

Where: https://lu-se.zoom.us/j/68603505710

Title: Pseudo-Boolean Solvers for Answer Set Programming

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 research, 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.