Adaptive Neighborhood Inverse Consistency as Lookahead for Non-Binary CSPs

AAAI Publications, Twenty-Fifth AAAI Conference on Artificial Intelligence

Robert J. Woodward, Shant Karakashian, Berthe Y. Choueiry, Christian Bessiere

Last modified: 2011-08-04

Abstract

Freuder and Elfe (1996) introduced Neighborhood Inverse Consistency (NIC) for binary CSPs. In this paper, we introduce RNIC, the extension of NIC to non-binary CSPs, and describe a practical algorithm for enforcing it. We propose an adaptive strategy to weaken or strengthen this property based on the connectivity of the network. We demonstrate the effectiveness of RNIC as a full lookahead strategy during search for solving difficult benchmark problems.

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