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Game Semantics for Non-monotonic Intensional Logic Programming

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Logic Programming and Nonmonotonic Reasoning (LPNMR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8148))

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Abstract

Intensional logic programming is an extension of logic programming based on intensional logic, which includes as special cases both temporal and modal logic programming. In [OW92], M. Orgun and W. W. Wadge provided a general framework for capturing the semantics of intensional logic programming languages. One key property involved in the construction of [OW92], is the monotonicity of intensional operators. In this paper we consider intensional logic programming from a game-theoretic perspective. In particular we define a two-person game and we demonstrate that it is equivalent to the semantics of [OW92]. More importantly, we demonstrate that the game is even applicable to intensional languages with non-monotonic operators. In this way we provide the first (to our knowledge) general semantic framework for capturing the semantics of non-monotonic intensional logic programming.

This research was supported by the project “Handling Uncertainty in Data Intensive Applications”, co-financed by the European Union (European Social Fund) and Greek national funds, through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Program: THALES, Investing in knowledge society through the European Social Fund.

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Galanaki, C., Nomikos, C., Rondogiannis, P. (2013). Game Semantics for Non-monotonic Intensional Logic Programming. In: Cabalar, P., Son, T.C. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2013. Lecture Notes in Computer Science(), vol 8148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40564-8_33

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  • DOI: https://doi.org/10.1007/978-3-642-40564-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40563-1

  • Online ISBN: 978-3-642-40564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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