Evaluating evidence for motivated discovery

  • Michael M. Luck
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 727)


Inductive discovery can be said to proceed through the accumulation of evidence in attempts to refute the current theory. Typically, this has involved a straight choice between the falsification of a theory and its continued use, with little or no consideration given to the possibility of error. This paper addresses the problems of error and evidence evaluation. It considers a variety of different kinds of error and uncertainty that arise through interaction with an external world, in both scientific discovery and other inductive reasoning. In response, it proposes a generally applicable model for the evaluation of evidence under differing motivations, and describes its implementation in the MID system for motivated discovery.


discovery motivation error knowledge acquisition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Michael M. Luck
    • 1
  1. 1.Department of Computer ScienceUniversity College LondonLondonUK

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