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Lifted Backward Search for General Game Playing

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AI 2016: Advances in Artificial Intelligence (AI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9992))

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Abstract

A General Game player is a computer program that can play games of which the rules are only known at run-time. These rules are usually given as a logic program. General Game players commonly apply a tree search over the state space, which is time consuming. In this paper we therefore present a new method that allows a player to detect that a future state satisfies some beneficial properties, without having to explicitly generate that state in the search tree. This may lead to faster algorithms and hence to better performance. Our method employs a search algorithm that searches backwards through formula space rather than state space.

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Notes

  1. 1.

    http://sanchoggp.blogspot.co.uk/2014/05/what-is-sancho.html.

  2. 2.

    https://bitbucket.org/rxe/galvanise_v2.

  3. 3.

    http://www.ggp.org/view/tiltyard/games/.

  4. 4.

    The universal quantifier \(\forall \) is not included in the language.

  5. 5.

    GDL defines more relations, but these are not relevant for this paper.

  6. 6.

    The implication \(\rightarrow \) is not allowed in a complex formula.

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Acknowledgments

This work was sponsored by an Endeavour Research Fellowship awarded by the Australian Government Department of Education.

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Authors and Affiliations

  1. Western Sydney University, Werrington, Australia

    Dave de Jonge & Dongmo Zhang

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  1. Dave de Jonge
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  2. Dongmo Zhang
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Correspondence to Dave de Jonge .

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Editors and Affiliations

  1. University of Tasmania, Hobart, Australia

    Byeong Ho Kang

  2. Auckland University of Technology, Auckland, New Zealand

    Quan Bai

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de Jonge, D., Zhang, D. (2016). Lifted Backward Search for General Game Playing. In: Kang, B.H., Bai, Q. (eds) AI 2016: Advances in Artificial Intelligence. AI 2016. Lecture Notes in Computer Science(), vol 9992. Springer, Cham. https://doi.org/10.1007/978-3-319-50127-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-50127-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50126-0

  • Online ISBN: 978-3-319-50127-7

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