The propensity interpretation of probability and diagnostic split in explaining away
Tài liệu tham khảo
Anderst, 2013, Evaluation for bleeding disorders in suspected child abuse, Pediatrics, 131, e1314, 10.1542/peds.2013-0195
Barbey, 2007, Base-rate respect: From ecological rationality to dual processes, Behavioral and Brain Sciences, 30, 241, 10.1017/S0140525X07001653
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823.
Benjamini, 1995, Controlling the false discovery rate: A practical and powerful approach to multiple testing, Journal of the Royal Statistical Society: Series B (Methodological), 57, 289
Cheng, 1997, From covariation to causation: A causal power theory, Psychological Review, 104, 367, 10.1037/0033-295X.104.2.367
Davis, 2017, The causal sampler: A sampling approach to causal representation, reasoning, and learning
Eddy, 1982, Probabilistic reasoning in clinical medicine: Problems and opportunities, vol. 8, 249
Erev, 1994, Simultaneous over- and underconfidence: The role of error in judgment processes, Psychological Review, 101, 519, 10.1037/0033-295X.101.3.519
Fernbach, 2013, Cognitive shortcuts in causal inference, Argument & Computation, 4, 64, 10.1080/19462166.2012.682655
Fischhoff, 1999, Fifty–fifty = 50%?, Journal of Behavioral Decision Making, 12, 149, 10.1002/(SICI)1099-0771(199906)12:2<149::AID-BDM314>3.0.CO;2-J
Fox, 2011, Distinguishing two dimensions of uncertainty, 21
Giere, 1973, Objective single-case probabilities and the foundations of statistics, vol. 74, 467
Gigerenzer, 1995, How to improve bayesian reasoning without instruction: frequency formats, Psychological Review, 102, 684, 10.1037/0033-295X.102.4.684
Gillies, 2000
Gillies, 2000, Varieties of propensity, The British Journal for the Philosophy of Science, 51, 807, 10.1093/bjps/51.4.807
Griffiths, T. (2001). Explaining away and the discounting principle: Generalising a normative theory of attribution. Unpublished manuscript.
Hájek, 2012, Interpretations of probability. In The stanford encyclopedia
Humphreys, 1985, Why propensities cannot be probabilities, The Philosophical Review, 94, 557, 10.2307/2185246
Kahneman, 1982, Variants of uncertainty, Cognition, 11, 143, 10.1016/0010-0277(82)90023-3
Kelley, 1973, The processes of causal attribution, American Psychologist, 28, 107, 10.1037/h0034225
Keren, 2001, The probability-outcome correspondence principle: A dispositional view of the interpretation of probability statements, Memory & Cognition, 29, 1010, 10.3758/BF03195763
Khemlani, 2011, When one model casts doubt on another: A levels-of-analysis approach to causal discounting, Psychological Bulletin, 137, 195, 10.1037/a0021809
Liefgreen, 2018, Explaining away: Significance of priors, diagnostic reasoning, and structural complexity
Mayrhofer, 2015, Agents and causes: Dispositional intuitions as a guide to causal structure, Cognitive Science, 39, 65, 10.1111/cogs.12132
Meder, 2017, Diagnostic reasoning, 433
Meeker, 2017, vol. 541
Morris, 1995, When one cause casts doubt on another: A normative analysis of discounting in causal attribution, Psychological Review, 102, 331, 10.1037/0033-295X.102.2.331
Neapolitan, 2003
Pearl, 1988
Pearl, 2009
Pettigrew, 2016
Pilditch, 2019, The zero-sum fallacy in evidence evaluation, Psychological Science, 10.1177/0956797618818484
Popper, 1959, The propensity interpretation of probability, The British Journal for the Philosophy of Science, 10, 25, 10.1093/bjps/X.37.25
Rehder, B. (2011). Reasoning with conjunctive causes. In Proceedings of the cognitive science society (Vol. 33).
Rehder, 2014, Independence and dependence in human causal reasoning, Cognitive Psychology, 72, 54, 10.1016/j.cogpsych.2014.02.002
Rehder, 2014, The role of functional form in causal-based categorization, Journal of Experimental Psychology: Learning, Memory, and Cognition, 41, 670
Rehder, 2005, Feature inference and the causal structure of categories, Cognitive Psychology, 50, 264, 10.1016/j.cogpsych.2004.09.002
Rehder, 2017, Failures of explaining away and screening off in described versus experienced causal learning scenarios, Memory & Cognition, 45, 245, 10.3758/s13421-016-0662-3
Rottman, 2014, Reasoning about causal relationships: Inferences on causal networks, Psychological Bulletin, 140, 109, 10.1037/a0031903
Rottman, 2016, Do people reason rationally about causally related events? Markov violations, weak inferences, and failures of explaining away, Cognitive Psychology, 87, 88, 10.1016/j.cogpsych.2016.05.002
Sussman, A. B., & Oppenheimer, D. M. (2011). A causal model theory of judgment. In Proceedings of the 33rd annual conference of the cognitive science society (Vol. 33).
Tversky, 1974, Judgment under uncertainty: Heuristics and biases, Science, 185, 1124, 10.1126/science.185.4157.1124
Tversky, A., & Kahneman, D. (1977). Causal schemata in judgments under uncertainty. Retrieved from: https://apps.dtic.mil/dtic/tr/fulltext/u2/a056667.pdf.
Ülkümen, 2016, Two dimensions of subjective uncertainty: Clues from natural language, Journal of Experimental Psychology: General, 145, 1280, 10.1037/xge0000202
Wellman, 1993, Explaining “explaining away”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 15, 287, 10.1109/34.204911