Please use this identifier to cite or link to this item:
https://doi.org/10.1007/s10462-004-4329-2
DC Field | Value | |
---|---|---|
dc.title | Counting for satisfiability by inverting resolution | |
dc.contributor.author | Andrei, S. | |
dc.date.accessioned | 2014-12-02T08:39:03Z | |
dc.date.available | 2014-12-02T08:39:03Z | |
dc.date.issued | 2004-12 | |
dc.identifier.citation | Andrei, S. (2004-12). Counting for satisfiability by inverting resolution. Artificial Intelligence Review 22 (4) : 339-366. ScholarBank@NUS Repository. https://doi.org/10.1007/s10462-004-4329-2 | |
dc.identifier.issn | 02692821 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/114631 | |
dc.description.abstract | We present a new algorithm for counting truth assignments of a clausal formula using inverse prepositional resolution and its associated normalization rules. The idea is opposite of the classical resolution, and is achieved by constructing in a bottom-up manner a computation graph. This means that we successively add complementary literals to generate new bigger clauses instead of solving them. Next, we make a comparison between the classical and inverse resolution, followed by a new algorithm which combines these two techniques for solving the SAT problem. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s10462-004-4329-2 | |
dc.source | Scopus | |
dc.subject | Algorithms | |
dc.subject | Counting truth assignments | |
dc.subject | Satisfiability | |
dc.type | Article | |
dc.contributor.department | SINGAPORE-MIT ALLIANCE | |
dc.description.doi | 10.1007/s10462-004-4329-2 | |
dc.description.sourcetitle | Artificial Intelligence Review | |
dc.description.volume | 22 | |
dc.description.issue | 4 | |
dc.description.page | 339-366 | |
dc.description.coden | AIRVE | |
dc.identifier.isiut | 000225323000003 | |
Appears in Collections: | Staff Publications |
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