Vidal's library
Title: Backtracking in Distributed Constraint Networks
Author: Youssef Hamadi, Christian Bessiére, and Jo\"el Quinqueton
Book Tittle: Proceedings of the European Conference on Artificial Intelligence
Pages: 219--223
Year: 1998
Abstract: The adaptation of software technology to distributed environments will be an important challenge in the next few years. In the scope of constraint reasoning, few works have been published on the adaptation of algorithms searching for a solution in a constraint network to distributed constraint networks. This paper presents a new search procedure for finding a solution in a distributed constraint network. Although based on the principle of backtracking to ensure the completeness of search, this procedure allows a high level of asynchronism, i.e., simultaneous search on independent parts of the network. Furthermore, it ts its behavior to the structure of the constraint graph in order to minimize message passing and to avoid useless restorations when a dead-end is reached. We also present a generic distributed method for computing any variable ordering heuristic.

Cited by 50  -  Google Scholar

@InProceedings{hamadi98a,
  author =	 {Youssef Hamadi and Christian Bessi\'{e}re and Jo\"el
                  Quinqueton},
  title =	 {Backtracking in Distributed Constraint Networks},
  booktitle =	 {Proceedings of the European Conference on Artificial
                  Intelligence},
  address =	 {Brighton, UK},
  year =	 1998,
  pages =	 {219--223},
  abstract =	 {The adaptation of software technology to distributed
                  environments will be an important challenge in the
                  next few years. In the scope of constraint
                  reasoning, few works have been published on the
                  adaptation of algorithms searching for a solution in
                  a constraint network to distributed constraint
                  networks. This paper presents a new search procedure
                  for finding a solution in a distributed constraint
                  network. Although based on the principle of
                  backtracking to ensure the completeness of search,
                  this procedure allows a high level of asynchronism,
                  i.e., simultaneous search on independent parts of
                  the network. Furthermore, it ts its behavior to the
                  structure of the constraint graph in order to
                  minimize message passing and to avoid useless
                  restorations when a dead-end is reached. We also
                  present a generic distributed method for computing
                  any variable ordering heuristic.},
  keywords =	 {multiagent dcsp},
  googleid =	 {jVe9pMcDvgcJ:scholar.google.com/},
  url =		 {http://jmvidal.cse.sc.edu/library/hamadi98a.pdf},
  cluster =	 {557887559837767565}
}
Last modified: Wed Mar 9 10:14:37 EST 2011