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Methodological Considerations on Chance Discovery

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New Frontiers in Artificial Intelligence (JSAI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2253))

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Abstract

This paper investigates the methodological foundations of a new research field called chance discovery, which aims to detect future opportunities and risks. By drawing on concepts from cybernetics and system theory, it is argued that chance discovery best applies to open systems that are equipped with regulatory and anticipatory mechanisms. Non-determinism, freedom (entropy) and open systems property are motivated as basic assumptions underlying chance discovery. The prediction-explanation asymmetry and evaluation of chance discovery models are discussed a fundamental problems of this field.

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Author information

Authors and Affiliations

  1. Department of Information and Communication Engineering Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1, Hongo, 113-8656, Bunkyo-ku, Tokyo, Japan

    Helmut Prendinger & Mitsuru Ishizuka

Authors
  1. Helmut Prendinger
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  2. Mitsuru Ishizuka
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Editor information

Editors and Affiliations

  1. Graduate School of Business Science, The University of Tsukuba, Tokyo

    Takao Terano  & Yukio Ohsawa  & 

  2. School of Engineering, The University of Tokyo, Tokyo

    Toyoaki Nishida

  3. Dept.of Computer Science, National Defense Academy, Japan

    Akira Namatame

  4. School of Medicines, Shimane Medical University, Japan

    Syusaku Tsumoto

  5. The Institute of Scientific and Industrial Research, Osaka University, Osaka

    Takashi Washio

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© 2001 Springer-Verlag Berlin Heidelberg

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Prendinger, H., Ishizuka, M. (2001). Methodological Considerations on Chance Discovery. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_58

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  • DOI: https://doi.org/10.1007/3-540-45548-5_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43070-4

  • Online ISBN: 978-3-540-45548-6

  • eBook Packages: Springer Book Archive

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