Induction and Probability

We will discuss induction and probability in that order, aiming to bring out the deep interconnections between the two topics; we will close with a brief overview of cutting-edge research that combines them. Arguably, Hume's greatest single contribution to contemporary philosophy of science has been the problem of induction (1739). Before attempting its statement, we need to spend a few words identifying the subject matter of this corner of epistemology. At a first pass, induction concerns ampliative inferences drawn on the basis of evidence (presumably, evidence acquired more or less directly from experience)—that is, inferences whose conclusions are not (validly) entailed by the premises. Philosophers have historically drawn further distinctions, often appropriating the term " induction " to mark them; since we will not be concerned with the philosophical issues for which these distinctions are relevant, we will use the word " inductive " in a catch-all sense synonymous with " ampliative ". But we will follow the usual practice of choosing, as our paradigm example of inductive inferences, inferences about the future based on evidence drawn from the past and present. A further refinement is more important. Opinion typically comes in degrees, and this fact makes a great deal of difference to how we understand inductive inferences. For while it is often harmless to talk about the conclusions that can be rationally believed on the basis of some

[1]  Sandy L. Zabell,et al.  Some Alternatives to Bayes' Rule. , 1983 .

[2]  J. Earman,et al.  Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory , 1994 .

[3]  R.K. Guy,et al.  On numbers and games , 1978, Proceedings of the IEEE.

[4]  I.,et al.  Weight of Evidence : A Brief Survey , 2006 .

[5]  A. Viana Alonso [Logic or chance?]. , 1992, Medicina clinica.

[6]  N. Goodman Fact, Fiction, and Forecast , 1955 .

[7]  L. Cohen The Implications of Induction , 2019 .

[8]  Tom Burr,et al.  Causation, Prediction, and Search , 2003, Technometrics.

[9]  Kevin T. Kelly The Logic of Reliable Inquiry , 1996 .

[10]  J. Colquhoun,et al.  A matter of chance. , 1992, Australian family physician.

[11]  H. Jeffreys A Treatise on Probability , 1922, Nature.

[12]  Jorma Rissanen,et al.  Hypothesis Selection and Testing by the MDL Principle , 1999, Comput. J..

[13]  S. Brodetsky Essai philosophique sur les probabilités , 1922, Nature.

[14]  G. Pólya Patterns of plausible inference , 1970 .

[15]  Isaac Levi,et al.  The Enterprise Of Knowledge , 1980 .

[16]  Abner Shimony,et al.  Coherence and the axioms of confirmation , 1955, Journal of Symbolic Logic.

[17]  Paolo Ghirardato,et al.  Coping with ignorance: unforeseen contingencies and non-additive uncertainty , 2001 .

[18]  Roberto Festa,et al.  Optimum Inductive Methods , 1993 .

[19]  Peter W. Milne log[P(h/eb)/P(h/b)] Is the One True Measure of Confirmation , 1996, Philosophy of Science.

[20]  Bas C. van Fraassen,et al.  Figures in a Probability Landscape , 1990 .

[21]  B. M. Hill,et al.  Theory of Probability , 1990 .

[22]  P. Bartha,et al.  Probability and Symmetry , 2001, Philosophy of Science.

[23]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[24]  Jean-Pierre Vigier,et al.  A review of extended probabilities , 1986 .

[25]  Philip Ehrlich Number systems with simplicity hierarchies: a generalization of Conway's theory of surreal numbers , 2001, Journal of Symbolic Logic.

[26]  D. Lewis Philosophical Papers: Volume II , 1987 .

[27]  I. A. Kieseppä Statistical Model Selection Criteria and Bayesianism , 2001, Philosophy of Science.

[28]  H. Jeffreys Logical Foundations of Probability , 1952, Nature.

[29]  P. Maher Probabilities For Two Properties , 2000 .

[30]  R. Festa Optimum Inductive Methods: A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude , 1993 .

[31]  Alan Hájek,et al.  What Conditional Probability Could Not Be , 2003, Synthese.

[32]  David Hume A Treatise of Human Nature: Being an Attempt to introduce the experimental Method of Reasoning into Moral Subjects , 1972 .

[33]  Leland Gerson Neuberg,et al.  Bayes or Bust?-A Critical Examination of Bayesian Confirmation Theory. , 1994 .

[34]  P. Maher Probabilities For Multiple Properties: The Models Of Hesse And Carnap And Kemeny , 2001 .

[35]  David Lewis Papers in Philosophical Logic , 1997 .

[36]  W. Salmon The foundations of scientific inference , 1967 .

[37]  Martin Edman The Probable and the Provable , 1980 .

[38]  Stan Kaplan,et al.  ‘Expert information’ versus ‘expert opinions’. Another approach to the problem of eliciting/ combining/using expert knowledge in PRA , 1992 .

[39]  Wolfgang Spohn,et al.  The representation of Popper measures , 1986 .

[40]  B. D. Finetti,et al.  Foresight: Its Logical Laws, Its Subjective Sources , 1992 .

[41]  W. E. Johnson I.—PROBABILITY: THE DEDUCTIVE AND INDUCTIVE PROBLEMS , 1932 .

[42]  J. Keynes A Treatise on Probability. , 1923 .

[43]  B. Armendt,et al.  Is There a Dutch Book Argument for Probability Kinematics? , 1980, Philosophy of Science.

[44]  R. Jeffrey Probability and the Art of Judgment , 1992 .

[45]  L. M. M.-T. Theory of Probability , 1929, Nature.

[46]  David L. Dowe,et al.  Minimum Message Length and Kolmogorov Complexity , 1999, Comput. J..

[47]  J. S. Busby,et al.  Experience and prediction , 1996 .

[48]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[49]  W. Luxemburg Non-Standard Analysis , 1977 .

[50]  R. Giere,et al.  Objective Single-Case Probabilities and the Foundations of Statistics , 1973 .

[51]  B. Skyrms Dynamic Coherence and Probability Kinematics , 1987, Philosophy of Science.

[52]  J. Hartigan Theories of Probability , 1983 .

[53]  A. A. Probability, Statistics and Truth , 1940, Nature.

[54]  David Stove,et al.  The Rationality of Induction , 1986 .

[55]  J. Cleve Reliability, Justification, and the Problem of Induction , 1984 .

[56]  Bas C. van Fraassen,et al.  Belief and the problem of Ulysses and the sirens , 1995 .

[57]  Gary James Jason,et al.  The Logic of Scientific Discovery , 1988 .

[58]  Carl G. Hempel,et al.  I.—STUDIES IN THE LOGIC OF CONFIRMATION (II.) , 1945 .

[59]  K. Popper The Propensity Interpretation of Probability , 1959 .

[60]  Edwin T. Jaynes Prior Probabilities , 2010, Encyclopedia of Machine Learning.

[61]  Lyle Zynda,et al.  Old evidence and new theories , 1995 .

[62]  Henry E. Kyburg,et al.  Studies in Subjective Probability , 1965 .

[63]  Peter Urbach,et al.  Scientific Reasoning: The Bayesian Approach , 1989 .

[64]  D. Lewis A Subjectivist’s Guide to Objective Chance , 1980 .

[65]  A. H. Murphy,et al.  Scoring rules and the evaluation of probabilities , 1996 .

[66]  John G. Kemeny,et al.  Fair bets and inductive probabilities , 1955, Journal of Symbolic Logic.

[67]  A. Church On the concept of a random sequence , 1940 .

[68]  Malcolm R. Forster,et al.  How to Tell When Simpler, More Unified, or Less Ad Hoc Theories will Provide More Accurate Predictions , 1994, The British Journal for the Philosophy of Science.