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  1. Subtracting “ought” from “is”: Descriptivism versus normativism in the study of human thinking.Shira Elqayam & Jonathan St B. T. Evans - 2011 - Behavioral and Brain Sciences 34 (5):233-248.
    We propose a critique ofnormativism, defined as the idea that human thinking reflects a normative system against which it should be measured and judged. We analyze the methodological problems associated with normativism, proposing that it invites the controversial “is-ought” inference, much contested in the philosophical literature. This problem is triggered when there are competing normative accounts (the arbitration problem), as empirical evidence can help arbitrate between descriptive theories, but not between normative systems. Drawing on linguistics as a model, we propose (...)
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  • Negativity bias in defeasible reasoning.Lupita Estefania Gazzo Castañeda, Bruno Richter & Markus Knauff - 2016 - Thinking and Reasoning 22 (2):209-220.
    In defeasible reasoning, initially drawn conclusions can be withdrawn in light of new information. In this paper, we examine how the conclusions drawn from conditionals describing positive or negative situations can be defeated by subsequent negative or positive information, respectively. Participants were confronted with conditionals of the form “If [situation], then I am happy/sad” which were either followed by no additional information or by additional information describing situations of the same or the opposite valence. The participant's task was to decide (...)
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  • Matching versus optimal data selection in the Wason selection task.Hiroshi Yama - 2001 - Thinking and Reasoning 7 (3):295 – 311.
    It has been reported as a robust effect that people are likely to select a matching case in the Wason selection task. For example, they usually select the 5 case, in the Wason selection task with the conditional "if an E, then a not-5". This was explained by the matching bias account that people are likely to regard a matching case as relevant to the truth of the conditional (Evans, 1998). However, because a positive concept usually constructs a smaller set (...)
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  • More models just means more difficulty.N. E. Wetherick - 1993 - Behavioral and Brain Sciences 16 (2):367-368.
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  • Scientific thinking and mental models.Ryan D. Tweney - 1993 - Behavioral and Brain Sciences 16 (2):366-367.
  • The task-specific nature of domain-general reasoning.Valerie A. Thompson - 2000 - Cognition 76 (3):209-268.
  • Situation theory and mental models.Alice G. B. ter Meulen - 1993 - Behavioral and Brain Sciences 16 (2):358-359.
  • Nonsentential representation and nonformality.Keith Stenning & Jon Oberlander - 1993 - Behavioral and Brain Sciences 16 (2):365-366.
  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
  • Use or misuse of the selection task? Rejoinder to Fiddick, Cosmides, and Tooby.Dan Sperber - 2002 - Cognition 85 (3):277-290.
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  • Relevance theory explains the selection task.D. Sperber - 1995 - Cognition 57 (1):31-95.
  • Unjustified presuppositions of competence.Leah Savion - 1993 - Behavioral and Brain Sciences 16 (2):364-365.
  • Judgment of blame in teenagers with Asperger's syndrome.Véronique Salvano-Pardieu, Romuald Blanc, Nicolas Combalbert, Aurélia Pierratte, Ken Manktelow, Christine Maintier, Sandra Lepeltier, Guillaume Gimenes, Catherine Barthelemy & Roger Fontaine - 2016 - Thinking and Reasoning 22 (3):251-273.
    ABSTRACTThe judgment of blame was studied in a group of 28 teenagers, 14 with Asperger syndrome and 14 typically developed. Teenagers in each group were matched by age, cognitive development and academic level. They were presented with 12 short vignettes in which they had to judge an action according to the intent of the actor, the consequences of the action and the seriousness of the situation. Results showed a significant difference in the patterns of judgment of both groups. The AS (...)
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  • Reasoning with deontic and counterfactual conditionals.Ana Cristina Quelhas & Ruth Byrne - 2003 - Thinking and Reasoning 9 (1):43 – 65.
    We report two new phenomena of deontic reasoning: (1) For conditionals with deontic content such as, "If the nurse cleaned up the blood then she must have worn rubber gloves", reasoners make more modus tollens inferences (from "she did not wear rubber gloves" to "she did not clean up the blood") compared to conditionals with epistemic content. (2) For conditionals in the subjunctive mood with deontic content, such as, "If the nurse had cleaned up the blood then she must have (...)
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  • There is no need for (even fully fleshed out) mental models to map onto formal logic.Paul Pollard - 1993 - Behavioral and Brain Sciences 16 (2):363-364.
  • Mental models, more or less.Thad A. Polk - 1993 - Behavioral and Brain Sciences 16 (2):362-363.
  • Facilitation and matching bias in the abstract selection task.Richard D. Platt & Richard A. Griggs - 1995 - Thinking and Reasoning 1 (1):55 – 70.
  • Darwinian algorithms and the Wason selection task: A factorial analysis of social contract selection task problems.Richard D. Platt & Richard A. Griggs - 1993 - Cognition 48 (2):163-192.
  • Deontic Reasoning With Emotional Content: Evolutionary Psychology or Decision Theory?Nick Perham & Mike Oaksford - 2005 - Cognitive Science 29 (5):681-718.
    Three experiments investigated the contrasting predictions of the evolutionary and decision-theoretic approaches to deontic reasoning. Two experiments embedded a hazard management (HM) rule in a social contract scenario that should lead to competition between innate modules. A 3rd experiment used a pure HM task. Threatening material was also introduced into the antecedent, p, of a deontic rule, if p then must q. According to the evolutionary approach, more HM responses (Cosmides & Tooby, 2000) are predicted when p is threatening, whereas (...)
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  • Perspectives, preferences, and probabilities.D. E. Over & K. I. Manktelow - 1995 - Thinking and Reasoning 1 (4):364 – 371.
  • Deduction and degrees of belief.David Over - 1993 - Behavioral and Brain Sciences 16 (2):361-362.
  • Everyday reasoning with inducements and advice.Eyvind Ohm & Valerie A. Thompson - 2004 - Thinking and Reasoning 10 (3):241 – 272.
    In two experiments, we investigated how people interpret and reason with realistic conditionals in the form of inducements (i.e., promises and threats) and advice (i.e., tips and warnings). We found that inducements and advice differed with respect to the degree to which the speaker was perceived to have (a) control over the consequent, (b) a stake in the outcome, and (c) an obligation to ensure that the outcome occurs. Inducements and advice also differed with respect to perceived sufficiency and necessity, (...)
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  • On the relationship between pragmatic schemas and mental logic.David P. O'brien - 1995 - Thinking and Reasoning 1 (4):357 – 364.
  • Two and three stage models of deontic reasoning.Mike Oaksford & Nick Chater - 1995 - Thinking and Reasoning 1 (4):350 – 357.
  • Theories of reasoning and the computational explanation of everyday inference.Mike Oaksford & Nick Chater - 1995 - Thinking and Reasoning 1 (2):121 – 152.
  • Précis of bayesian rationality: The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.
    According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic – the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining (...)
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  • Mental models and the tractability of everyday reasoning.Mike Oaksford - 1993 - Behavioral and Brain Sciences 16 (2):360-361.
  • Mental models, computational explanation and Bayesian cognitive science: Commentary on Knauff and Gazzo Castañeda (2023).Mike Oaksford - 2023 - Thinking and Reasoning 29 (3):371-382.
    Knauff and Gazzo Castañeda (2022) object to using the term “new paradigm” to describe recent developments in the psychology of reasoning. This paper concedes that the Kuhnian term “paradigm” may be queried. What cannot is that the work subsumed under this heading is part of a new, progressive movement that spans the brain and cognitive sciences: Bayesian cognitive science. Sampling algorithms and Bayes nets used to explain biases in JDM can implement the Bayesian new paradigm approach belying any advantages of (...)
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  • A rational analysis of the selection task as optimal data selection.Mike Oaksford & Nick Chater - 1994 - Psychological Review 101 (4):608-631.
  • Hempel's paradox and Wason's selection task: Logical and psychological puzzles of confirmation.Raymond S. Nickerson - 1996 - Thinking and Reasoning 2 (1):1 – 31.
    Hempel's paradox of the ravens has to do with the question of what constitutes confirmation from a logical point of view; Wason 's selection task has been used extensively to investigate how people go about attempting to confirm or disconfirm conditional claims. This paper presents an argument that the paradox is resolved, and that people's typical performance in the selection task can be explained, by consideration of what constitutes an effective strategy for seeking evidence of the tenability of universal or (...)
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  • Deontic Reasoning, Modules and Innateness: A Second Look.Nick Chater & Mike Oaksford - 1996 - Mind and Language 11 (2):191-202.
    Cummins (this issue) puts the case for an innate module for deontic reasoning. We argue that this case is not persuasive. First, we claim that Cummins’evolutionary arguments are neutral regarding whether deontic reasoning is learned or innate. Second, we argue that task differences between deontic and indicative reasoning explain many of the phenomena that Cummins takes as evidence for a deontic module. Third, we argue against the suggestion that deontic reasoning is superior to indicative reasoning, either in adults or children. (...)
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  • Do mental models provide an adequate account of syllogistic reasoning performance?Stephen E. Newstead - 1993 - Behavioral and Brain Sciences 16 (2):359-360.
  • Book Review. [REVIEW]Stephen Newstead - 2003 - Thinking and Reasoning 9 (2):169-172.
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  • How the construction of mental models improves learning.Monica Bucciarelli - 2007 - Mind and Society 6 (1):67-89.
    In this paper, I present a framework where possible relations between learning and mental models are explored. In particular, I’ll be concerned with non-symbolic gestures accompanying discourse and their role in inducing the construction of models and therefore deep comprehension and learning in the listener. Also, I’ll be concerned with cognitive and socio-cognitive conflicts and their roles in inducing construction of alternative models of a problem and therefore in learning to reason. Human ability to learn is of great importance for (...)
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  • Utility and deontic reasoning: Some comments on Johnson-Laird and Byrne.K. I. Manktelow & D. E. Over - 1992 - Cognition 43 (2):183-188.
  • The influence of responsibility and guilt on naive hypothesis-testing.Francesco Mancini & Amelia Gangemi - 2004 - Thinking and Reasoning 10 (3):289-320.
  • Superordinate principles in reasoning with causal and deontic conditionals.K. I. Manktelow & N. Fairley - 2000 - Thinking and Reasoning 6 (1):41 – 65.
    We propose that the pragmatic factors that mediate everyday deduction, such as alternative and disabling conditions (e.g. Cummins et al., 1991) and additional requirements (Byrne, 1989) exert their effects on specific inferences because of their perceived relevance to more general principles, which we term SuperPs. Support for this proposal was found first in two causal inference experiments, in which it was shown that specific inferences were mediated by factors that are relevant to a more general principle, while the same inferences (...)
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  • Models for deontic deduction.K. I. Manktelow - 1993 - Behavioral and Brain Sciences 16 (2):357-357.
  • Visualizing the possibilities.Bruce J. MacLennan - 1993 - Behavioral and Brain Sciences 16 (2):356-357.
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  • Gestalt theory, formal models and mathematical modeling.Abraham S. Luchins & Edith H. Luchins - 1993 - Behavioral and Brain Sciences 16 (2):355-356.
  • Temporalidad Y relaciones de inclusión: El procesamiento de la regla condicional en la tarea de selección Y sus dificultades.Miguel López Astorga - 2011 - Alpha (Osorno) 32:215-234.
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  • Focusing in Wason's selection task: Content and instruction effects.Roberta E. Love & Claudius M. Kessler - 1995 - Thinking and Reasoning 1 (2):153 – 182.
  • Hypothesis testing in Wason's selection task: social exchange cheating detection or task understanding.N. Liberman - 1996 - Cognition 58 (1):127-156.
  • Book reviews. [REVIEW]Justin Leiber, W. J. Talbott, Anthony Dardis, Dale Jamieson, Douglas Dempster, John Snapper, Denise Dellarosa Cummins, Michael Wheeler, Harry Heft, Donald Levy, Lindley Darden & Alastair Tait - 1995 - Philosophical Psychology 8 (4):389-431.
    Speaking: from Intention to Articulation Willem J. M. Levelt, 1989 (1993 paperback) Cambridge, MA: MIT Press ISBN: 0–262–12137–9(hb), 0–262–62089–8(pb)Rules for Reasoning Richard E. Nisbett (Ed.), 1993 Hillsdale, NJ, Lawrence Erlbaum Associates ISBN: 0–8058–1256–3(hb), 0–8085–1257–1 (pb)Readings in Philosophy and Cognitive Science Alvin I. Goldman, 1993 Cambridge, MA, MIT Press ISBN: 0–262–07153–3(hb), 0–262–57100–5(pb)Language Comprehension in Ape and Child, Monographs of the Society for Research in Child Development, Serial No. 233, Vol. 58, Nos 3–4 Sue Savage‐Rumbaugh, Jeannine Murphy, Rose A. Sevcik, Karen E. (...)
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  • The content of mental models.Paolo Legrenzi & Maria Sonino - 1993 - Behavioral and Brain Sciences 16 (2):354-355.
  • Probabilities and utilities of fictional outcomes in Wason's four-card selection task.Kris N. Kirby - 1994 - Cognition 51 (1):1-28.
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  • Précis of Deduction.Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):323-333.
    How do people make deductions? The orthodox view in psychology is that they use formal rules of inference like those of a “natural deduction” system.Deductionargues that their logical competence depends, not on formal rules, but on mental models. They construct models of the situation described by the premises, using their linguistic knowledge and their general knowledge. They try to formulate a conclusion based on these models that maintains semantic information, that expresses it parsimoniously, and that makes explicit something not directly (...)
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  • Modal reasoning, models, and Manktelow and Over.Philip N. Johnson-Laird & Ruth M. J. Byrne - 1992 - Cognition 43 (2):173-182.
  • Mental models or formal rules?Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):368-380.
  • Conditionals: A theory of meaning, pragmatics, and inference.Philip Johnson-Laird & Ruth M. J. Byrne - 2002 - Psychological Review 109 (4):646-678.
    The authors outline a theory of conditionals of the form If A then C and If A then possibly C. The 2 sorts of conditional have separate core meanings that refer to sets of possibilities. Knowledge, pragmatics, and semantics can modulate these meanings. Modulation can add information about temporal and other relations between antecedent and consequent. It can also prevent the construction of possibilities to yield 10 distinct sets of possibilities to which conditionals can refer. The mental representation of a (...)
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