Event Selection Rules to Compute Explanations

Autor: Prud'homme, Charles, Lorca, Xavier, Jussien, Narendra
Rok vydání: 2016
Předmět:
Druh dokumentu: Working Paper
Popis: Explanations have been introduced in the previous century. Their interest in reducing the search space is no longer questioned. Yet, their efficient implementation into CSP solver is still a challenge. In this paper, we introduce ESeR, an Event Selection Rules algorithm that filters events generated during propagation. This dynamic selection enables an efficient computation of explanations for intelligent backtracking al- gorithms. We show the effectiveness of our approach on the instances of the last three MiniZinc challenges
Databáze: arXiv