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Cliquewidth and knowledge compilation

  • Igor Razgon
  • , Justyna Petke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this paper we study the role of cliquewidth in succinct representation of Boolean functions. Our main statement is the following: Let Z be a Boolean circuit having cliquewidth k. Then there is another circuit Z* computing the same function as Z having treewidth at most 18k+2 and which has at most 4|Z| gates where |Z| is the number of gates of Z. In this sense, cliquewidth is not more 'powerful' than treewidth for the purpose of representation of Boolean functions. We believe this is quite a surprising fact because it contrasts the situation with graphs where an upper bound on the treewidth implies an upper bound on the cliquewidth but not vice versa. We demonstrate the usefulness of the new theorem for knowledge compilation. In particular, we show that a circuit Z of cliquewidth k can be compiled into a Decomposable Negation Normal Form (dnnf) of size O(918k k 2|Z|) and the same runtime. To the best of our knowledge, this is the first result on efficient knowledge compilation parameterized by cliquewidth of a Boolean circuit.

Original languageEnglish
Title of host publicationTheory and Applications of Satisfiability Testing, SAT 2013 - 16th International Conference, Proceedings
Pages335-350
Number of pages16
DOIs
StatePublished - 15 Jul 2013
Externally publishedYes
Event16th International Conference on Theory and Applications of Satisfiability Testing, SAT 2013 - Helsinki, Finland
Duration: 8 Jul 201312 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7962 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Theory and Applications of Satisfiability Testing, SAT 2013
Country/TerritoryFinland
CityHelsinki
Period8/07/1312/07/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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