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A Delayed Splitting Bottom-Up Procedure for Model Generation

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AI 2012: Advances in Artificial Intelligence (AI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7691))

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Abstract

Meaning-preserving Skolemization is essential for development of a correct and efficient method of solving query-answering problems. It requires global existential quantifications of function variables, which in turn require an extended space of logical formulas. This paper proposes a bottom-up procedure for computing a set of models that sufficiently represents the set of all models of a given clause set in the extended formula space. Instantiations of function variables often result in generation of infinitely many models. To overcome the difficulty, a model-making pattern is introduced for representing a possibly infinite number of models, and such a pattern is split as late as possible. The proposed procedure provides a method for solving query-answering problems that include unrestricted use of universal and existential quantifications.

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© 2012 Springer-Verlag Berlin Heidelberg

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Akama, K., Nantajeewarawat, E. (2012). A Delayed Splitting Bottom-Up Procedure for Model Generation. In: Thielscher, M., Zhang, D. (eds) AI 2012: Advances in Artificial Intelligence. AI 2012. Lecture Notes in Computer Science(), vol 7691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35101-3_41

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  • DOI: https://doi.org/10.1007/978-3-642-35101-3_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35100-6

  • Online ISBN: 978-3-642-35101-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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