Exact Phase Transitions in Random Constraint Satisfaction Problems
Author(s) -
Ke Xu,
Wei Li
Publication year - 2000
Publication title -
journal of artificial intelligence research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.79
H-Index - 123
eISSN - 1943-5037
pISSN - 1076-9757
DOI - 10.1613/jair.696
Subject(s) - constraint satisfaction problem , constraint (computer aided design) , phase transition , infinity , mathematics , type (biology) , phase (matter) , combinatorics , statistical physics , discrete mathematics , computer science , physics , statistics , quantum mechanics , mathematical analysis , geometry , ecology , probabilistic logic , biology
In this paper we propose a new type of random CSP model, called Model RB, which is a revision to the standard Model B. It is proved that phase transitions from a region where almost all problems are satisfiable to a region where almost all problems are unsatisfiable do exist for Model RB as the number of variables approaches infinity. Moreover, the critical values at which the phase transitions occur are also known exactly. By relating the hardness of Model RB to Model B, it is shown that there exist a lot of hard instances in Model RB.
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