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Transfer Learning by Inductive Logic Programming

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Advances in Computer Games (ACG 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9525))

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Abstract

In this paper, we propose a Transfer Learning method by Inductive Logic Programing for games. We generate general knowledge from a game, and specify the knowledge so that it is applicable in another game. This is called Transfer Learning. We show the working of Transfer Learning by taking knowledge from Tic-tac-toe and transfer it to Connect4 and Connect5. For Connect4 the number of Heuristic functions we developed is 30; for Connect5 it is 20.

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Notes

  1. 1.

    For brevity, we use ‘he’ and ‘his’, whenever ‘he or she’ and ‘his or her’ are meant.

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Acknowledgments

We would like to express great thanks to Aske Plaat for his advice to this research, and Siegfried Nijssen for his advice on Inductive Logic Programming.

Author information

Authors and Affiliations

  1. School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, Japan

    Yuichiro Sato & Hiroyuki Iida

  2. Leiden Institute of Advanced Computer Science, P.O. Box 9512, 2300 RA, Leiden, The Netherlands

    H. J. van den Herik

Authors
  1. Yuichiro Sato
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  2. Hiroyuki Iida
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  3. H. J. van den Herik
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Corresponding author

Correspondence to Yuichiro Sato .

Editor information

Editors and Affiliations

  1. Leiden University , Leiden, The Netherlands

    Aske Plaat

  2. Leiden University , Leiden, The Netherlands

    Jaap van den Herik

  3. Leiden University , Leiden, The Netherlands

    Walter Kosters

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© 2015 Springer International Publishing Switzerland

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Sato, Y., Iida, H., van den Herik, H.J. (2015). Transfer Learning by Inductive Logic Programming. In: Plaat, A., van den Herik, J., Kosters, W. (eds) Advances in Computer Games. ACG 2015. Lecture Notes in Computer Science(), vol 9525. Springer, Cham. https://doi.org/10.1007/978-3-319-27992-3_20

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  • DOI: https://doi.org/10.1007/978-3-319-27992-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27991-6

  • Online ISBN: 978-3-319-27992-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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