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Conference object . 2024
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MaxSAT resolution with inclusion redundancy

Authors: Ilario Bonacina; Maria Luisa Bonet; Massimo Lauria;

MaxSAT resolution with inclusion redundancy

Abstract

Popular redundancy rules for SAT are not necessarily sound for MaxSAT. The works of [Bonacina-Bonet-Buss-Lauria’24] and [Ihalainen-Berg-Järvisalo’22] proposed ways to adapt them, but required specific encodings and more sophisticated checks during proof verification. Here, we propose a different way to adapt redundancy rules from SAT to MaxSAT. Our rules do not require specific encodings, their correctness is simpler to check, but they are slightly less expressive. However, the proposed redundancy rules, when added to MaxSAT-Resolution, are already strong enough to capture Branch-and-bound algorithms, enable short proofs of the optimal cost of notable principles (e.g., the Pigeonhole Principle and the Parity Principle), and allow to break simple symmetries (e.g., XOR-ification does not make formulas harder).

Ilario Bonacina: The author was supported by grant PID2022-138506NB-C22 (PROOFS BEYOND) funded by AEI. Maria Luisa Bonet: The author was supported by grant PID2022-138506NB-C22 (PROOFS BEYOND) funded by AEI. Massimo Lauria: The author has been supported by the project PRIN 2022 “Logical Methods in Combinatorics” N. 2022BXH4R5 of the Italian Ministry of University and Research (MIUR).

Peer Reviewed

Countries
Spain, Germany, Italy
Keywords

MaxSAT, Redundancy, Parity Principle, MaxSAT resolution, Branch-and-bound, Parity principle, Branch-and-bound; MaxSAT; MaxSAT resolution; Parity Principle; Pigeonhole principle; Redundancy, Pigeonhole principle, Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green