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Pacific Rim International Conference on Artificial Intelligence

PRICAI 2014: PRICAI 2014: Trends in Artificial Intelligence pp 733–746Cite as

GDL Meets ATL: A Logic for Game Description and Strategic Reasoning

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8862)

Abstract

This paper presents a logical framework that extends the Game Description Language with coalition operators from Alternating-time Temporal Logic and prioritised strategy connectives. Our semantics is built upon the standard state transition model. The new framework allows us to formalise van Benthem’s game-oriented principles in multi-player games, and formally derive Weak Determinacy and Zermelo’s Theorem for two-player games. We demonstrate with a real-world game how to use our language to specify a game and design a strategy, and how to use our framework to verify a winning/no-losing strategy. Finally, we show that the model-checking problem of our logic is in 2EXPTIME with respect to the size of game structure and the length of formula, which is no worse than the model-checking problem in ATL ⋆ .

Keywords

  • Reachable State
  • Logical Framework
  • Game Strategy
  • Strategic Reasoning
  • Strategy Rule

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-13560-1_58
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Author information

Authors and Affiliations

  1. AIRG, University of Western Sydney, Australia

    Guifei Jiang & Dongmo Zhang

  2. IRIT, University of Toulouse 1, France

    Guifei Jiang & Laurent Perrussel

Authors
  1. Guifei Jiang
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  2. Dongmo Zhang
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  3. Laurent Perrussel
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Editor information

Editors and Affiliations

  1. MIMOS Berhad Technology Park Malaysia, 57000, Bukit Jalil, KL, Malaysia

    Duc-Nghia Pham

  2. Kyungpook National University, Sankyuk-Dong, Buk-Gu, 702-701, Daegu, Korea

    Seong-Bae Park

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Jiang, G., Zhang, D., Perrussel, L. (2014). GDL Meets ATL: A Logic for Game Description and Strategic Reasoning. In: Pham, DN., Park, SB. (eds) PRICAI 2014: Trends in Artificial Intelligence. PRICAI 2014. Lecture Notes in Computer Science(), vol 8862. Springer, Cham. https://doi.org/10.1007/978-3-319-13560-1_58

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  • DOI: https://doi.org/10.1007/978-3-319-13560-1_58

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13559-5

  • Online ISBN: 978-3-319-13560-1

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