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dc.date.accessioned2014-05-08T10:00:49Z
dc.date.available2014-05-08T10:00:49Z
dc.date.issued2012en_US
dc.date.submitted2012-05-14en_US
dc.identifier.urihttp://hdl.handle.net/10852/39154
dc.description.abstractOver the past decades, a number of calculi for automated reasoning have been proposed that share some core features: 1. proofs are built in a tableau/sequent style as trees where nodes are labeled with literals, and 2. these proofs are expanded by interpreting the problem clause set as a set of rules, and requiring all negative literals in clauses to present on a branch for expansion. This applies to hyper-tableaux [2], MGTP [8], coherent logic [4, 5], and others. Existing implementations typically spend much of their time in the process of matching branch literals with the negative literals of the input clauses. We present an alternative to this matching process by applying a modified version of the Rete algorithm [7]. The Rete algorithm was developed in the 1970s for production systems in artificial intelligence. We exploit the similarities between the mentioned calculi and production systems in order to make the Rete algorithm solve the matching problem. We also investigate the effect of working on several independent branches present in tableau proof search but not in production systems. 9th International Workshop on the Implementation of Logics. Merida, 10.03.12 - 10.03.12.
dc.language.isoengen_US
dc.titleEfficient Rule-Matching for Hyper-Tableauxen_US
dc.typeConference objecten_US
dc.date.updated2014-05-06en_US
dc.creator.authorHovland, Dagen_US
dc.creator.authorHolen, Bjarneen_US
dc.creator.authorGiese, Martinen_US
dc.subject.nsiVDP::420en_US
dc.identifier.cristin920937en_US
dc.identifier.urnURN:NBN:no-44058
dc.type.documentKonferansebidragen_US
dc.identifier.duo161186en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/39154/1/paper.pdf


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