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Extending Finite Model Searching with Congruence Closure Computation

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Artificial Intelligence and Symbolic Computation (AISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3249))

Abstract

The model generation problem, regarded as a special case of the Constraint Satisfaction Problem (CSP), has many applications in AI, computer science and mathematics. In this paper, we describe how to increase propagation of constraints by using the ground congruence closure algorithm. The experimental results show that using the congruence closure algorithm can reduce the search space for some benchmark problems.

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Zhang, J., Zhang, H. (2004). Extending Finite Model Searching with Congruence Closure Computation. In: Buchberger, B., Campbell, J. (eds) Artificial Intelligence and Symbolic Computation. AISC 2004. Lecture Notes in Computer Science(), vol 3249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30210-0_9

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  • DOI: https://doi.org/10.1007/978-3-540-30210-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23212-4

  • Online ISBN: 978-3-540-30210-0

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