- When nomenclature matters: Is the “new paradigm” really a new paradigm for the psychology of reasoning?Markus Knauff & Lupita Estefania Gazzo Castañeda - 2023 - Thinking and Reasoning 29 (3):341-370.details
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How are beliefs represented in the mind?Markus Knauff & Lupita Estefania Gazzo Castañeda - 2023 - Thinking and Reasoning 29 (3):416-426.details
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Hysteresis: The External World.Maurizio Ferraris - 2024 - Edinburgh University Press.details
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Children can solve Bayesian problems: the role of representation in mental computation.Liqi Zhu & Gerd Gigerenzer - 2006 - Cognition 98 (3):287-308.details
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Towards a pattern-based logic of probability judgements and logical inclusion “fallacies”.Momme von Sydow - 2016 - Thinking and Reasoning 22 (3):297-335.details
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Reasoning and choice in the Monty Hall Dilemma (MHD): implications for improving Bayesian reasoning.Elisabet Tubau, David Aguilar-Lleyda & Eric D. Johnson - 2015 - Frontiers in Psychology 6:133474.details
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Reference Dependence in Bayesian Reasoning: Value Selection Bias, Congruence Effects, and Response Prompt Sensitivity.Alaina Talboy & Sandra Schneider - 2022 - Frontiers in Psychology 13.details
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Reasoning from uncertain premises: Effects of expertise and conversational context.Rosemary J. Stevenson & David E. Over - 2001 - Thinking and Reasoning 7 (4):367 – 390.details
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Comments on Quantum Probability Theory.Steven Sloman - 2014 - Topics in Cognitive Science 6 (1):47-52.details
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A Causal Model Theory of the Meaning of Cause, Enable, and Prevent.Steven Sloman, Aron K. Barbey & Jared M. Hotaling - 2009 - Cognitive Science 33 (1):21-50.details
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On Bayesian problem-solving: helping Bayesians solve simple Bayesian word problems.Miroslav Sirota, Gaëlle Vallée-Tourangeau, Frédéric Vallée-Tourangeau & Marie Juanchich - 2015 - Frontiers in Psychology 6.details
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Inductive reasoning about causally transmitted properties.Patrick Shafto, Charles Kemp, Elizabeth Baraff Bonawitz, John D. Coley & Joshua B. Tenenbaum - 2008 - Cognition 109 (2):175-192.details
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An antidote to illusory inferences.Carlos Santamaria & P. N. Johnson-Laird - 2000 - Thinking and Reasoning 6 (4):313 – 333.details
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The rules versus similarity distinction.Emmanuel M. Pothos - 2005 - Behavioral and Brain Sciences 28 (1):1-14.details
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Could it be the case that if I am right my opponents will be pleased? A rejoinder to Johnson-Laird, Byrne and girotto.Guy Politzer - 2009 - Topoi 28 (1):81-85.details
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Children’s quantitative Bayesian inferences from natural frequencies and number of chances.Stefania Pighin, Vittorio Girotto & Katya Tentori - 2017 - Cognition 168 (C):164-175.details
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Framing human inference by coherence based probability logic.Niki Pfeifer & Gernot D. Kleiter - 2009 - Journal of Applied Logic 7 (2):206--217.details
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Deontic Reasoning With Emotional Content: Evolutionary Psychology or Decision Theory?Nick Perham & Mike Oaksford - 2005 - Cognitive Science 29 (5):681-718.details
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A Re-examination of illusory inferences based on factual conditional sentences.Paolo Cherubini, Alberto Mazzocco, Simona Gardini & Aurore Russo - 2001 - Mind and Society 2 (2):9-25.details
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Probabilistic single function dual process theory and logic programming as approaches to non-monotonicity in human vs. artificial reasoning.Mike Oaksford & Nick Chater - 2014 - Thinking and Reasoning 20 (2):269-295.details
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Probabilistic effects in data selection.Mike Oaksford, Nick Chater & Becki Grainger - 1999 - Thinking and Reasoning 5 (3):193 – 243.details
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Imaging deductive reasoning and the new paradigm.Mike Oaksford - 2015 - Frontiers in Human Neuroscience 9.details
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False memories of the future: A critique of the applications of probabilistic reasoning to the study of cognitive processes.Mihnea Moldoveanu & Ellen Langer - 2002 - Psychological Review 109 (2):358-375.details
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Violations of coherence in subjective probability: A representational and assessment processes account.David R. Mandel - 2008 - Cognition 106 (1):130-156.details
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Superordinate principles in reasoning with causal and deontic conditionals.K. I. Manktelow & N. Fairley - 2000 - Thinking and Reasoning 6 (1):41 – 65.details
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Nested sets theory, full stop: Explaining performance on bayesian inference tasks without dual-systems assumptions.David R. Mandel - 2007 - Behavioral and Brain Sciences 30 (3):275-276.details
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Most frugal explanations in Bayesian networks.Johan Kwisthout - 2015 - Artificial Intelligence 218 (C):56-73.details
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The psychology of the Monty Hall problem: discovering psychological mechanisms for solving a tenacious brain teaser.Stefan Krauss & X. T. Wang - 2003 - Journal of Experimental Psychology: General 132 (1):3.details
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The processes of inference.Sangeet Khemlani & P. N. Johnson-Laird - 2013 - Argument and Computation 4 (1):4 - 20.details
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Facts and Possibilities: A Model‐Based Theory of Sentential Reasoning.Sangeet S. Khemlani, Ruth M. J. Byrne & Philip N. Johnson-Laird - 2018 - Cognitive Science 42 (6):1887-1924.details
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Illusions in Reasoning.Sangeet S. Khemlani & P. N. Johnson-Laird - 2017 - Minds and Machines 27 (1):11-35.details
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Naive Probability: Model‐Based Estimates of Unique Events.Sangeet S. Khemlani, Max Lotstein & Philip N. Johnson-Laird - 2015 - Cognitive Science 39 (6):1216-1258.details
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The Mental Model Theory of Conditionals: A Reply to Guy Politzer. [REVIEW]Philip N. Johnson-Laird, Ruth M. J. Byrne & Vittorio Girotto - 2009 - Topoi 28 (1):75-80.details
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Reasoning From Inconsistency to Consistency.P. N. Johnson-Laird, Vittorio Girotto & Paolo Legrenzi - 2004 - Psychological Review 111 (3):640-661.details
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Possibilities as the foundation of reasoning.P. N. Johnson-Laird & Marco Ragni - 2019 - Cognition 193 (C):103950.details
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Illusory inferences: a novel class of erroneous deductions.P. N. Johnson-Laird & Fabien Savary - 1999 - Cognition 71 (3):191-229.details
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Conditionals: A theory of meaning, pragmatics, and inference.Philip Johnson-Laird & Ruth M. J. Byrne - 2002 - Psychological Review 109 (4):646-678.details
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Comprehension and computation in Bayesian problem solving.Eric D. Johnson & Elisabet Tubau - 2015 - Frontiers in Psychology 6:137658.details
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LTP – a mechanism in search of a function.Kathryn J. Jeffery - 2000 - Behavioral and Brain Sciences 23 (2):286-287.details
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Explanation and rationality naturalized.David Henderson - 2010 - Philosophy of the Social Sciences 40 (1):30-58.details
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Probabilistic representation in syllogistic reasoning: A theory to integrate mental models and heuristics.Masasi Hattori - 2016 - Cognition 157 (C):296-320.details
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Reasoning About Relations.Geoffrey P. Goodwin & Philip Johnson-Laird - 2005 - Psychological Review 112 (2):468-493.details
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Combinatorics and probability: Six- to ten-year-olds reliably predict whether a relation will occur.Michel Gonzalez & Vittorio Girotto - 2011 - Cognition 120 (3):372-379.details
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Naive causality: a mental model theory of causal meaning and reasoning.Eugenia Goldvarg & P. N. Johnson-Laird - 2001 - Cognitive Science 25 (4):565-610.details
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Young children do not succeed in choice tasks that imply evaluating chances.Vittorio Girotto, Laura Fontanari, Michel Gonzalez, Giorgio Vallortigara & Agnès Blaye - 2016 - Cognition 152 (C):32-39.details
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Solving probabilistic and statistical problems: a matter of information structure and question form.Vittorio Girotto & Michel Gonzalez - 2001 - Cognition 78 (3):247-276.details
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Children’s understanding of posterior probability.Vittorio Girotto & Michel Gonzalez - 2008 - Cognition 106 (1):325-344.details
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Basic understanding of posterior probability.Vittorio Girotto & Stefania Pighin - 2015 - Frontiers in Psychology 6.details
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The role of representation in bayesian reasoning: Correcting common misconceptions.Gerd Gigerenzer & Ulrich Hoffrage - 2007 - Behavioral and Brain Sciences 30 (3):264-267.details
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Suppositions, extensionality, and conditionals: A critique of the mental model theory of Johnson-Laird and Byrne (2002).Jonathan St B. T. Evans, David E. Over & Simon J. Handley - 2005 - Psychological Review 112 (4):1040-1052.details
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