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Solving Crossword Puzzles Using Extended Potts Model

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New Frontiers in Artificial Intelligence (JSAI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5447))

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Abstract

Solving crossword puzzles by computers is a challenging task in artificial intelligence. It requires logical inference and association as well as vocabulary and common sense knowledge. For this task, we present an extension of the Potts model. This model can incorporate various clues for solving puzzles and require less computational cost compared with other existing models.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Tokyo Institute of Technology, Japan

    Kazuki Jimbo

  2. Precision and Intelligence Laboratory, Tokyo Institute of Technology, Japan

    Hiroya Takamura & Manabu Okumura

Authors
  1. Kazuki Jimbo
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  2. Hiroya Takamura
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  3. Manabu Okumura
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan

    Hiromitsu Hattori

  2. Toshiba Corp., Research & Development Center, 1, Komukai-Toshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Japan

    Takahiro Kawamura

  3. Tokyo Research Laboratory, IBM Research, 1623-14 Shimo-tsuruma, Yamato, 242-8502, Kanagawa, Japan

    Tsuyoshi Idé

  4. Faculty of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, 819-0395, Fukuoka, Japan

    Makoto Yokoo

  5. National Institute of Information and Communications Technology, 3-5 Hikaridai, Seika-cho, Soraku-gun, 619-0289, Kyoto, Japan

    Yohei Murakami

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© 2009 Springer-Verlag Berlin Heidelberg

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Jimbo, K., Takamura, H., Okumura, M. (2009). Solving Crossword Puzzles Using Extended Potts Model. In: Hattori, H., Kawamura, T., Idé, T., Yokoo, M., Murakami, Y. (eds) New Frontiers in Artificial Intelligence. JSAI 2008. Lecture Notes in Computer Science(), vol 5447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00609-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-00609-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00608-1

  • Online ISBN: 978-3-642-00609-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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