The Distributed Constraint Satisfaction Problem: Formalization and Algorithms
IEEE Transactions on Knowledge and Data Engineering
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Asynchronous backtracking without adding links: a new member in the ABT family
Artificial Intelligence - Special issue: Distributed constraint satisfaction
A Cryptographic Solution for Private Distributed Simple Meeting Scheduling
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
A Cryptographic Solution for Private Distributed Simple Meeting Scheduling
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Effect of DisCSP variable-ordering heuristics in scale-free networks
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Effect of DisCSP variable-ordering heuristics in scale-free networks
Multiagent and Grid Systems - Principles and Practice of Multi-Agent Systems
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Meetings are an important vehicle for human communication. The Meeting Scheduling problem (MS) is a decision-making process affecting several people, in which it is necessary to decide when and where several meetings could be scheduled. MS is a naturally distributed problem which has a clear motivation to be tried using distributed techniques: people may desire to preserve the already planned meetings in their personal calendars during resolution. In this paper, we evaluate three distributed algorithms for MS according to efficiency and privacy loss. Two of these algorithms view MS as a Distributed Constraint Satisfaction problem.