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On the Feasibility of Distributed Constraint Satisfaction

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 318-323.

Abstract

This paper characterizes connectionist-type architectures that allow a distribute(! Solution for classes of constraint-satisfaction problems. The main issue addressed is whether there exists a uniform model of computation (where all nodes are indistinguishable) that rg!taJ_antees convergence to a solution from every initial state of the system, whenever such a solution exists. We show that even for relatively simple constraint networks, such as rings, there is no general solution using a completely uniform, asynchronous, model. However, some restricted topologies like trees can accommodate the uniform, asynchronous, model and a protocol demonstrating this fact is presented. An almost-uniform, asynchronous, networkconsistency protocol is also presented. We show that the algorithms are guaranteed to be selfstabilizing, which makes them suitable for dynamic or error-prone environments.

Zeev Collin, Rina Dechter, and Shmuel Katz. 1991. On the Feasibility of Distributed Constraint Satisfaction. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 318–323. https://ijcai.org/proceedings/1991/48
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