2004/01/14 by Marc Mézard, Marc Mezard, Mezard, Marc
Computer Science · Physics and Astronomy · #AI-based Problem Solving and Planning #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.dis-nn #cond-mat.stat-mech
paper · pdf · doi:10.48550/arxiv.cond-mat/0401237
Talk given at NIPS 2003; 8 pages
arxiv created 2004/01/14 · openalex publication_date 2004/01/14 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This talk surveys the recent development of message passing procedures for solving constraint satisfaction problems. The cavity method from statistical physics provides a generalization of the belief propagation strategy that is able to deal with the clustering of solutions in these problems. It allows to derive analytic results on their phase diagrams, and offers a new algorithmic framework.