David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Philosophy of Science 50 (3):374-397 (1983)
The system presented by the author in The Logical Foundations of Statistical Inference (Kyburg 1974) suffered from certain technical difficulties, and from a major practical difficulty; it was hard to be sure, in discussing examples and applications, when you had got hold of the right reference class. The present paper, concerned mainly with the characterization of randomness, resolves the technical difficulties and provides a well structured framework for the choice of a reference class. The definition of randomness that leads to this framework is simplified and clarified in a number of respects. It resolves certain puzzles raised by S. Spielman and W. Harper in their contributions to Profiles: Henry E. Kyburg, Jr. and Isaac Levi (R. Bogdan (ed.) 1982)
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Citations of this work BETA
John L. Pollock (1992). The Theory of Nomic Probability. Synthese 90 (2):263 - 299.
Lokendra Shastri (1988). A Connectionist Approach to Knowledge Representation and Limited Inference. Cognitive Science 12 (3):331-392.
Manfred Jaeger (2005). A Logic for Inductive Probabilistic Reasoning. Synthese 144 (2):181 - 248.
John L. Pollock (2012). Oscar. Journal of Applied Non-Classical Logics 6 (1):89-113.
Henry E. Kyburg (1991). A Two-Level System of Knowledge Representation Based on Evidential Probability. Philosophical Studies 64 (1):105 - 114.
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