ECML'2001 Workshop Proceedings:

Machine Learning as Experimental Philosophy of Science

Proceedings contents are available below, in postscript, rtf and doc format (gzipped).

Contents

  1. Front matter.
  2. Kevin Kelly: Some short-run implications of convergent success.
  3. Jon Williamson: Machine Learning and the Philosophy of Science: A Dynamic Interaction.
  4. E.E. Vitayev, Y.L. Orlov, O.V. Vishnevsky, and A.S. Belenok: Computer System "Gene Discovery" for Functional Annotation of DNA Sequences.
  5. Kevin Korb: Machine Learning as Philosophy of Science.
  6. Jan Rauch: Association Rules and Mechanizing Hypothesis Formation.
  7. Vincent Corruble: Scientific Discovery: Induction and Beyond.
  8. Lorenzo Magnani: Conjectures and Manipulations: Action-based Abduction in Science.

Disclaimer