State of the field: Measuring information and confirmation
暂无分享,去创建一个
[1] C. Gini. Variabilita e Mutabilita. , 1913 .
[2] J. Keynes. A Treatise on Probability. , 1923 .
[3] K. Popper,et al. The Logic of Scientific Discovery , 1960 .
[4] Carl G. Hempel,et al. A purely syntactical definition of confirmation , 1943, Journal of Symbolic Logic.
[5] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[6] C. Hempel,et al. Studies in the Logic of Explanation , 1948, Philosophy of Science.
[7] E. H. Simpson. Measurement of Diversity , 1949, Nature.
[8] Rudolf Carnap,et al. Logical foundations of probability , 1951 .
[9] L. J. Savage,et al. Probability and the weighing of evidence , 1951 .
[10] G. Brier. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY , 1950 .
[11] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[12] J. Kemeny,et al. Degree of Factual Support , 1952, Philosophy of Science.
[13] Y. Bar-Hillel. An Examination of Information Theory , 1955, Philosophy of Science.
[14] D. Lindley. On a Measure of the Information Provided by an Experiment , 1956 .
[15] D. Kerridge. Inaccuracy and Inference , 1961 .
[16] R. T. Cox. The Algebra of Probable Inference , 1962 .
[17] H. Törnebohm. Two Measures of Evidential Strength , 1966 .
[18] Jaakko Hintikka,et al. Semantic Information and Inductive Logic , 1966 .
[19] Jan Havrda,et al. Quantification method of classification processes. Concept of structural a-entropy , 1967, Kybernetika.
[20] I. Good. Corroboration, Explanation, Evolving Probability, Simplicity and a Sharpened Razor , 1968, The British Journal for the Philosophy of Science.
[21] Wesley C. Salmon,et al. Partial Entailment as a Basis for Inductive Logic , 1969 .
[22] Zoltan Domotor. Qualitative Information and Entropy Structures , 1970 .
[23] Jaakko Hintikka,et al. On Semantic Information , 1970 .
[24] Juhani Pietarinen,et al. Quantitative Tools for Evaluating Scientific Systematizations , 1970 .
[25] I. Good,et al. The Diagnostic Process with Special Reference to Errors , 1971, Methods of Information in Medicine.
[26] P. Horwich. Probability and Evidence , 1972 .
[27] Ilkka Niiniluoto,et al. Theoretical concepts and hypothetico-inductive inference , 1973 .
[28] W. Salmon. Confirmation and relevance , 1975 .
[29] Edward H. Shortliffe,et al. A model of inexact reasoning in medicine , 1990 .
[30] I. Niiniluoto. Inquiries, Problems, and Questions: Remarks on Local Induction , 1976 .
[31] William K. Goosens. A Critique of Epistemic Utilities , 1976 .
[32] David Miller,et al. Inference, method, and decision , 1977 .
[33] Calyampudi R. Rao. Diversity and dissimilarity coefficients: A unified approach☆ , 1982 .
[34] H. Heyer,et al. Information and Sufficiency , 1982 .
[35] K. Popper,et al. A proof of the impossibility of inductive probability , 1983, Nature.
[36] A BAYESIAN ANALYSIS OF EXCESS CONTENT AND THE LOCALISATION OF SUPPORT , 1985, The British Journal for the Philosophy of Science.
[37] Michael L. G. Redhead. ON THE IMPOSSIBILITY OF INDUCTIVE PROBABILITY , 1985, The British Journal for the Philosophy of Science.
[38] J. Klayman,et al. Confirmation, Disconfirmation, and Informa-tion in Hypothesis Testing , 1987 .
[39] C. Tsallis. Possible generalization of Boltzmann-Gibbs statistics , 1988 .
[40] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[41] Edward H. Shortliffe,et al. From certainty factors to belief networks , 1992, Artif. Intell. Medicine.
[42] P. Maher. Betting on Theories , 1993 .
[43] N. Chater,et al. RATIONAL EXPLANATION OF THE SELECTION TASK , 1996 .
[44] Ernest W. Adams,et al. A primer of probability logic , 1996 .
[45] R. Nickerson. Hempel's Paradox and Wason's Selection Task: Logical and Psychological Puzzles of Confirmation , 1996 .
[46] K. Jon Barwise,et al. Information and Impossibilities , 1997, Notre Dame J. Formal Log..
[47] R. Royall. Statistical Evidence: A Likelihood Paradigm , 1997 .
[48] R. Selten. Axiomatic Characterization of the Quadratic Scoring Rule , 1998 .
[49] Branden Fitelson. The Plurality of Bayesian Measures of Confirmation and the Problem of Measure Sensitivity , 1999, Philosophy of Science.
[50] W. Benish. Relative Entropy as a Measure of Diagnostic Information , 1999, Medical decision making : an international journal of the Society for Medical Decision Making.
[51] Jaakko Hintikka,et al. The Varieties of Information and Scientific Explanation , 1999 .
[52] T. Kuipers. From Instrumentalism to Constructive Realism: On Some Relations between Confirmation, Empirical Progress, and Truth Approximation , 2000 .
[53] S. Abe. Axioms and uniqueness theorem for Tsallis entropy , 2000, cond-mat/0005538.
[54] C. Howson. Hume's problem: induction and the justification of belief , 2000 .
[55] L. Rips. Two Kinds of Reasoning , 2001 .
[56] D. Davis,et al. Rethinking the Probative Value of Evidence: Base Rates, Intuitive Profiling, and the “Postdiction” of Behavior , 2002, Law and human behavior.
[57] E. Eells,et al. Symmetries and Asymmetries in Evidential Support , 2002 .
[58] Branden Fitelson. Putting the Irrelevance Back Into the Problem of Irrelevant Conjunction , 2002, Philosophy of Science.
[59] W. Benish. The use of information graphs to evaluate and compare diagnostic tests. , 2002, Methods of information in medicine.
[60] J. Koehler,et al. The Misquantification of Probative Value , 2003, Law and human behavior.
[61] N. Chater,et al. Optimal data selection: Revision, review, and reevaluation , 2003, Psychonomic bulletin & review.
[62] W. Benish. Mutual Information as an Index of Diagnostic Test Performance , 2003, Methods of Information in Medicine.
[63] Joseph D. Sneed,et al. Entropy, informantion, and decision , 2004, Synthese.
[64] Luciano Floridi,et al. Outline of a Theory of Strongly Semantic Information , 2004, Minds and Machines.
[65] Isaac Levi,et al. Information and inference , 2004, Synthese.
[66] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[67] Daniel Steel,et al. Bayesian Confirmation Theory and The Likelihood Principle , 2007, Synthese.
[68] Jonathan D. Nelson. Finding useful questions: on Bayesian diagnosticity, probability, impact, and information gain. , 2005, Psychological review.
[69] Branden Fitelson,et al. Likelihoodism, Bayesianism, and relational confirmation , 2007, Synthese.
[70] Franz Huber,et al. Assessing theories, Bayes style , 2008, Synthese.
[71] Theo A.F. Kuipers. Inductive aspects of confirmation, information and content , 2006 .
[72] P. Kleingeld,et al. The Stanford Encyclopedia of Philosophy , 2013 .
[73] Vincenzo Crupi,et al. On Bayesian Measures of Evidential Support: Theoretical and Empirical Issues* , 2007, Philosophy of Science.
[74] A. Raftery,et al. Strictly Proper Scoring Rules, Prediction, and Estimation , 2007 .
[75] Jonathan D. Nelson. Towards a rational theory of human information acquisition , 2007 .
[76] D. Osherson,et al. Determinants of confirmation , 2007, Psychonomic bulletin & review.
[77] S. Psillos,et al. The Routledge Companion to Philosophy of Science , 2008 .
[78] Alberto Mura. Can Logical Probability Be Viewed as a Measure of Degrees of Partial Entailment , 2008 .
[79] Imre Csiszár,et al. Axiomatic Characterizations of Information Measures , 2008, Entropy.
[80] Roberto Festa,et al. Towards a Grammar of Bayesian Confirmation , 2009 .
[81] C. Chakrabarti,et al. Tsallis entropy: Axiomatic characterization and application , 2009 .
[82] David Atkinson,et al. Confirmation and justification. A commentary on Shogenji’s measure , 2009, Synthese.
[83] Tomoji Shogenji. The degree of epistemic justification and the conjunction fallacy , 2009, Synthese.
[84] D. Osherson,et al. Second-order probability affects hypothesis confirmation , 2010, Psychonomic bulletin & review.
[85] Jonathan D. Nelson,et al. Experience Matters , 2010, Psychological science.
[86] Branden Fitelson,et al. THE WASON TASK(S) AND THE PARADOX OF CONFIRMATION , 2010 .
[87] Vincenzo Crupi,et al. Irrelevant Conjunction: Statement and Solution of a New Paradox* , 2010, Philosophy of Science.
[88] Jake Chandler,et al. Contrastive confirmation: some competing accounts , 2010, Synthese.
[89] R. Scheines,et al. Causation, Association, and Confirmation , 2011 .
[90] Thomas L. Griffiths,et al. Seeking Confirmation Is Rational for Deterministic Hypotheses , 2011, Cogn. Sci..
[91] G. Wheeler,et al. Focused Correlation, Confirmation, and the Jigsaw Puzzle of Variable Evidence* , 2011, Philosophy of Science.
[92] Roman Frigg,et al. Entropy: a guide for the perplexed , 2011 .
[93] Salvatore Greco,et al. Properties of rule interestingness measures and alternative approaches to normalization of measures , 2012, Inf. Sci..
[94] Richard Pettigrew. Epistemic Utility and Norms for Credences , 2013 .
[95] Peter Brössel. The Problem of Measure Sensitivity Redux , 2013, Philosophy of Science.
[96] N. Chater,et al. New Axioms for Probability and Likelihood Ratio Measures , 2013, The British Journal for the Philosophy of Science.
[97] Marcello D'Agostino,et al. Semantic Information and the Trivialization of Logic: Floridi on the Scandal of Deduction , 2013, Inf..
[98] Vincenzo Crupi,et al. Confirmation as partial entailment: A representation theorem in inductive logic , 2013, J. Appl. Log..
[99] David H. Glass,et al. Confirmation measures of association rule interestingness , 2013, Knowl. Based Syst..
[100] Peter Milne,et al. Information, confirmation, and conditionals , 2014, J. Appl. Log..
[101] G. Cevolani. Strongly Semantic Information as Information About the Truth , 2014 .
[102] M. Marelli,et al. Evidence evaluation: measure Z corresponds to human utility judgments better than measure L and optimal-experimental-design models. , 2014, Journal of experimental psychology. Learning, memory, and cognition.
[103] S. V. Enk,et al. Bayesian Measures of Confirmation from Scoring Rules , 2014 .
[104] Franz Huber,et al. Bayesian Confirmation: A Means with No End , 2015, The British Journal for the Philosophy of Science.