David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
One version of the problem of induction is how to justify hypotheses in the face of data. Why advance hypothesis A rather than B — or in a probabilistic context, why attach greater probability to A than B? If the data arrive as a stream of observations (distributed through time) then the problem is to justify the associated stream of hypotheses. Several perspectives on this problem have been developed including Bayesianism (Howson and Urbach, 1993) and belief-updating (Hansson, 1999). These are broad families of approaches; the citations are meant just as portals.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Jeffrey Helzner & Vincent Hendricks (2012). Agency and Interaction What We Are and What We Do in Formal Epistemology. Journal of the Indian Council of Philosophical Research 2.
Daniel Steel, Mind Changes and Testability: How Formal and Statistical Learning Theory Converge in the New Riddle of Induction.
Oliver Schulte, Formal Learning Theory. Stanford Encyclopedia of Philosophy.
Colin Howson (2011). No Answer to Hume. International Studies in the Philosophy of Science 25 (3):279 - 284.
Daniel Steel (2009). Testability and Ockham's Razor: How Formal and Statistical Learning Theory Converge in the New Riddle of Induction. [REVIEW] Journal of Philosophical Logic 38 (5):471 - 489.
Kevin T. Kelly (1988). Formal Learning Theory and the Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:413 - 423.
Daniel Steel (2011). On Not Changing the Problem: A Reply to Howson. International Studies in the Philosophy of Science 25 (3):285 - 291.
Kevin T. Kelly, Oliver Schulte & Cory Juhl (1997). Learning Theory and the Philosophy of Science. Philosophy of Science 64 (2):245-267.
Daniel Steel & S. Kedzie Hall (2011). What If the Principle of Induction Is Normative? Formal Learning Theory and Hume's Problem. International Studies in the Philosophy of Science 24 (2):171-185.
Added to index2009-01-28
Total downloads8 ( #266,862 of 1,724,890 )
Recent downloads (6 months)2 ( #268,623 of 1,724,890 )
How can I increase my downloads?