カンザス州立大学集中講義・予習編論文リスト

  1. Hume, D. An Inquiry Concerning Human Understanding, Sections 20-31 (excerpts by Glymour).
  2. Descartes, R. Medetations on the First Philosophy in which the Existence of God and the Distinction between Mind and Body Are Demonstrated (excerpts by Glymour).
  3. Goodman, N. 'A Query on Confirmation', in The Journal of Philosophy, Vol.43, No.14, 1946, pp.383-385.
  4. Allen, J.F. 'Bioinformatics and discovery: induction beckons again', in BioEssays, Vol.23, Issue1, Jan.2001, pp.104-107.
  5. Gillies, D.A. 'Popper and computer induction', Kelley L.A. & Scott M. 'On John Allen's critique of induction', Allen, J.F. ' Hypothesis, induction and background knowledge. Data do not speak for themselves. Replies to Donald A. Gillies, Lawrence A. Kelly and Michael Scott', Correspondence in Bioessays, Vol.23, Issue 9, Sept. 2001, pp.859-862.
  6. Glaister, S. 'Inductive Logic (Ch.35)', in A Companion to Philosophical Logic, 2007.
  7. Howson, C. 'Accommodation, Prediction and Bayesian Confirmation Theory', in Philosophy of Science, Vol.2, 1988, pp.381-392.
  8. Sober, E. 'Apportioning Causal Responsibility', The Journal of Philosophy, Vol.85, No.6, 1988, pp.303-318.
  9. Forster, M. & Sober, E. 'How to Tell when Simpler, More Unified or Less Ad Hoc Theories will Provide More Accurate Predictions', British Journal for the Philosophy of Science, Vol.45, 1994, pp.1-35.
  10. Hitchcock, C. & Sober, E. 'Prediction Versus Accommodation and the Risk of Overfitting', British Journal for the Philosophy of Science, Vol.55, 2004, pp.1-34.
  11. Mayo, D.G. 'Error Statistics and Learning From Error: Making a Virtue of Necessity', Philosophy of Science, Vol.64 (Proceedings), 1997, pp.S195-S212.
  12. Mayo, D.G. 'Experimental Practive and an Error Statistical Account of Evidence', Philosophy of Science, Vol.67(Proceedings), 2000, pp.S193-S207.
  13. Mayo, D.G. & Spanos, A. 'Severe Testing as a Basic Concept in a Neyman-Pearson Philosophy of Induction', British Journal for the Philosophy of Science, Vol.57, 2006, pp.323-357.

　その他、Elliot Soberによるウェブサイトの記事(course material)、および著書Evidence and Evolution (ch1. Evidence)が今回の授業内容（特にベイズ主義と尤度主義Likelihoodismについての基本的理解および問題）と関係が深く、はじめての人にもたいへん分かりやすい。興味のある方はぜひ一読してみてください。

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