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Cause-effect relationships and partially defined Boolean functions

  • Section III Quantitative Models, Data Structuring And Information Processing
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Abstract

This paper investigates the use of Boolean techniques in a systematic study of cause-effect relationships. The model uses partially defined Boolean functions. Procedures are provided to extrapolate from limited observations, concise and meaningful theories to explain the effect under study, and to prevent (or provoke) its occurrence.

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Authors and Affiliations

  1. Department of Quantitative Economics, University of Limburg, 6200 MD, Maastricht, The Netherlands

    Yves Crama

  2. RUTCOR - Rutgers Center for Operations Research, Rutgers University, 08903, New Brunswick, NJ, U.S.A.

    Peter L. Hammer

  3. Department of Applied Mathematics and Physics, Kyoto University, 606, Kyoto, Japan

    Toshihide Ibaraki

Authors
  1. Yves Crama
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  2. Peter L. Hammer
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  3. Toshihide Ibaraki
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Crama, Y., Hammer, P.L. & Ibaraki, T. Cause-effect relationships and partially defined Boolean functions. Ann Oper Res 16, 299–325 (1988). https://doi.org/10.1007/BF02283750

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  • DOI: https://doi.org/10.1007/BF02283750

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