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  1. The influence of responsibility and guilt on naive hypothesis-testing.Francesco Mancini & Amelia Gangemi - 2004 - Thinking and Reasoning 10 (3):289-320.
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  • Social roles and utilities in reasoning with deontic conditionals.K. I. Manktelow & D. E. Over - 1991 - Cognition 39 (2):85-105.
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  • Reasoning and rationality.K. Manktelow & David E. Over - 1987 - Mind and Language 2 (3):199-219.
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  • Probabilistic factors in deontic reasoning.K. I. Manktelow, E. J. Sutherland & D. E. Over - 1995 - Thinking and Reasoning 1 (3):201 – 219.
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  • Models for deontic deduction.K. I. Manktelow - 1993 - Behavioral and Brain Sciences 16 (2):357-357.
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  • Implicit Learning of True and False Belief Sequences.Qianying Ma, Elien Heleven, Giulia Funghi, Min Pu, Kris Baetens, Natacha Deroost & Frank Van Overwalle - 2021 - Frontiers in Psychology 12.
    To investigate whether people can implicitly learn regularities in a social context, we developed a new implicit sequence learning task combining elements from classic false belief and serial reaction time tasks. Participants learned that protagonists were offered flowers at four locations. The protagonists' beliefs concerning the flowers were true or false, depending on their orientation, respectively, toward the scene or away from it. Unbeknown to the participants, there was a fixed belief-related sequence involving three dimensions. Participants had to indicate as (...)
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  • Visualizing the possibilities.Bruce J. MacLennan - 1993 - Behavioral and Brain Sciences 16 (2):356-357.
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  • Conditional reasoning and conditional logic.William G. Lycan - 1994 - Philosophical Studies 76 (2-3):223 - 245.
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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.
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  • 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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  • Dificultades de la lógica deóntica: el problema de las tareas abstractas.Miguel López Astorga - 2013 - Trans/Form/Ação 36 (3):187-202.
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  • Against Philo’s interpretation of conditional. The case of Aristotle´s thesis.Miguel López-Astorga - 2016 - Agora 35 (2).
    There is an Aristotelian thesis that can be considered controversial. That is the thesis related to a denied conditional with only one propositional variable and in which, in addition, one of its clauses is also denied. While the thesis is not a tautology, people tend to accept it as true. Pfeifer’s approach can account for this fact. However, I try to show that this problem can also be explained from other alternative frameworks, in particular, from that of the mental models (...)
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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.
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  • Perspectivism, Deontologism and Epistemic Poverty.Robert Lockie - 2016 - Social Epistemology 30 (2):133-149.
    The epistemic poverty objection is commonly levelled by externalists against deontological conceptions of epistemic justification. This is that an “oughts” based account of epistemic justification together with “ought” implies “can” must lead us to hold to be justified, epistemic agents who are objectively not truth-conducive cognizers. The epistemic poverty objection has led to a common response from deontologists, namely to embrace accounts of bounded rationality—subjective, practical or regulative accounts rather than objective, absolute or theoretical accounts. But the bounds deontological epistemologists (...)
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  • Implicit Learning and Cognitive Architectures.R. S. Lockhart - 1994 - Journal of Intelligent Systems 4 (3-4):329-344.
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  • Evolutionary Psychology: The Burdens of Proof.Elisabeth A. Lloyd - 1999 - Biology and Philosophy 14 (2):211-233.
    I discuss two types of evidential problems with the most widely touted experiments in evolutionary psychology, those performed by Leda Cosmides and interpreted by Cosmides and John Tooby. First, and despite Cosmides and Tooby's claims to the contrary, these experiments don't fulfil the standards of evidence of evolutionary biology. Second Cosmides and Tooby claim to have performed a crucial experiment, and to have eliminated rival approaches. Though they claim that their results are consistent with their theory but contradictory to the (...)
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  • What is Reasoning?Conor McHugh & Jonathan Way - 2018 - Mind 127 (505):167-196.
    Reasoning is a certain kind of attitude-revision. What kind? The aim of this paper is to introduce and defend a new answer to this question, based on the idea that reasoning is a goodness-fixing kind. Our central claim is that reasoning is a functional kind: it has a constitutive point or aim that fixes the standards for good reasoning. We claim, further, that this aim is to get fitting attitudes. We start by considering recent accounts of reasoning due to Ralph (...)
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  • Hypothesis testing in Wason's selection task: social exchange cheating detection or task understanding.N. Liberman - 1996 - Cognition 58 (1):127-156.
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  • The Wiles of evolutionary psychology and the indeterminacy of selection.Justin Leiber - 2008 - Philosophical Forum 39 (1):53–72.
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  • Dickins, Cosmides, reasoning, modularity, and Wason's task.Justin Leiber - 2005 - Journal for the Theory of Social Behaviour 35 (3):341–349.
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  • 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.
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  • Rationality as “good reasons for”.Paolo Legrenzi & Rino Rumiati - 1993 - International Studies in the Philosophy of Science 7 (1):45 – 49.
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  • Focussing in reasoning and decision making.P. Legrenzi - 1993 - Cognition 49 (1-2):37-66.
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  • (1 other version)A model theory of modal reasoning.Victoria A. Bell & P. N. Johnson-Laird - 1998 - Cognitive Science 22 (1):25-51.
    This paper presents a new theory of modal reasoning, i.e. reasoning about what may or may not be the case, and what must or must not be the case. It postulates that individuals construct models of the premises in which they make explicit only what is true. A conclusion is possible if it holds in at least one model, whereas it is necessary if it holds in all the models. The theory makes three predictions, which are corroborated experimentally. First, conclusions (...)
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  • An investigation of reasoning by analogy in schizophrenia and autism spectrum disorder.Daniel C. Krawczyk, Michelle R. Kandalaft, Nyaz Didehbani, Tandra T. Allen, M. Michelle McClelland, Carol A. Tamminga & Sandra B. Chapman - 2014 - Frontiers in Human Neuroscience 8.
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  • The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning.Kenneth R. Koedinger, Albert T. Corbett & Charles Perfetti - 2012 - Cognitive Science 36 (5):757-798.
    Despite the accumulation of substantial cognitive science research relevant to education, there remains confusion and controversy in the application of research to educational practice. In support of a more systematic approach, we describe the Knowledge-Learning-Instruction (KLI) framework. KLI promotes the emergence of instructional principles of high potential for generality, while explicitly identifying constraints of and opportunities for detailed analysis of the knowledge students may acquire in courses. Drawing on research across domains of science, math, and language learning, we illustrate the (...)
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  • (1 other version)Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry.Kenneth R. Koedinger & John R. Anderson - 1990 - Cognitive Science 14 (4):511-550.
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  • 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.
    For most of its history, the psychology of reasoning was dominated by binary extensional logic. The so-called “new paradigm” instead puts subjective degrees of belief center stage, often represented as probabilities. We argue that the “new paradigm” is too vaguely defined and therefore does not allow a clear decision about what falls within its scope and what does not. We also show that there was not one settled theoretical “old” paradigm, before the new developments emerged, and that the alleged new (...)
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  • How our brains reason logically.Markus Knauff - 2007 - Topoi 26 (1):19-36.
    The aim of this article is to strengthen links between cognitive brain research and formal logic. The work covers three fundamental sorts of logical inferences: reasoning in the propositional calculus, i.e. inferences with the conditional “if...then”, reasoning in the predicate calculus, i.e. inferences based on quantifiers such as “all”, “some”, “none”, and reasoning with n-place relations. Studies with brain-damaged patients and neuroimaging experiments indicate that such logical inferences are implemented in overlapping but different bilateral cortical networks, including parts of the (...)
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  • 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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  • Reasoning and Rationality.D. E. Over K. I. Manktelow - 1987 - Mind and Language 2 (3):199-219.
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  • Constraints on Analogical Mapping: A Comparison of Three Models.Mark T. Keane, Tim Ledgeway & Stuart Duff - 1994 - Cognitive Science 18 (3):387-438.
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  • The role of cognitive and socio-cognitive conflict in learning to reason.Katiuscia Sacco & Monica Bucciarelli - 2007 - Mind and Society 7 (1):1-19.
    The mental model theory claims that the ability to falsify is at the core of human rationality. We assume that cognitive conflicts (CCs) and socio-cognitive conflicts (SCCs) induce falsification, and thus improve syllogistic reasoning performance. Our first study assesses adults’ ability to reason in two different conditions in a single experimental session. In both conditions the participants are presented with conclusions alternative to their own. In the CC condition they are told that these conclusions are casual, in the SCC condition (...)
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  • Positive confirmation bias in the acquisition of information.Martin Jones & Robert Sugden - 2001 - Theory and Decision 50 (1):59-99.
    An experiment is reported which tests for positive confirmation bias in a setting in which individuals choose what information to buy, prior to making a decision. The design – an adaptation of Wason's selection task – reveals the use that subjects make of information after buying it. Strong evidence of positive confirmation bias, in both information acquisition and information use, is found; and this bias is found to be robust to experience. It is suggested that the bias results from a (...)
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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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  • Peirce, logic diagrams, and the elementary operations of reasoning.P. N. Johnson-Laird - 2002 - Thinking and Reasoning 8 (1):69 – 95.
    This paper describes Peirce's systems of logic diagrams, focusing on the so-called ''existential'' graphs, which are equivalent to the first-order predicate calculus. It analyses their implications for the nature of mental representations, particularly mental models with which they have many characteristics in common. The graphs are intended to be iconic, i.e., to have a structure analogous to the structure of what they represent. They have emergent logical consequences and a single graph can capture all the different ways in which a (...)
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  • Possibilities as the foundation of reasoning.P. N. Johnson-Laird & Marco Ragni - 2019 - Cognition 193 (C):103950.
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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.
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  • Mental models or formal rules?Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):368-380.
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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.
    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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  • A model point of view.P. N. Johnson-Laird & Ruth M. J. Byrne - 1995 - Thinking and Reasoning 1 (4):339 – 350.
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  • Architecture and algorithms: Power sharing for mental models.Robert Inder - 1993 - Behavioral and Brain Sciences 16 (2):354-354.
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  • Probing the “Achilles' heel” of rational analysis.Keith J. Holyoak - 1991 - Behavioral and Brain Sciences 14 (3):498-499.
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  • Pragmatic reasoning from multiple points of view: A response.Keith J. Holyoak & Patricia W. Cheng - 1995 - Thinking and Reasoning 1 (4):373 – 389.
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  • Pragmatic reasoning with a point of view.Keith J. Holyoak & Patricia W. Cheng - 1995 - Thinking and Reasoning 1 (4):289 – 313.
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  • The logical content of theories of deduction.Wilfrid Hodges - 1993 - Behavioral and Brain Sciences 16 (2):353-354.
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  • Sharing-rule and detection of free-riders in cooperative groups: Evolutionarily important deontic reasoning in the Wason selection task.Kai Hiraishi & Toshikazu Hasegawa - 2001 - Thinking and Reasoning 7 (3):255 – 294.
    Taking a Darwinian approach, we propose that people reason to detect free-riders on the Wason Selection task with the sharing-rule; If one receives the resource, one is an in-group member (standard), or If one is an in-group member, one receives the resource (switched). As predicted, taking the resource-provider's perspective, both undergraduates and children (11 to 12 years old) checked for the existence of out-group members taking undeserved resource. Changing the perspective to that of the resource-recipient did not alter the selection (...)
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  • Reasoning about rights and duties: mental models, world knowledge and pragmatic interpretation.Denis J. Hilton, Laetitia Charalambides & Stéphanie Hoareau-Blanchet - 2016 - Thinking and Reasoning 22 (2):150-183.
    We address the way verb-based and rule-content knowledge are combined in understanding institutional deontics. Study 1 showed that the institutional regulations used in our studies were readily categorised into one of two content groups: rights or duties. Participants perceived rights as benefiting the addressees identified by the rule, whereas they perceived duties as benefiting the collective that imposed the rule. Studies 2, 3, and 4 showed that rule content had clear effects on perceptions of violations and relevance of cases for (...)
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  • Solving Inductive Reasoning Problems in Mathematics: Not‐so‐Trivial Pursuit.Lisa A. Haverty, Kenneth R. Koedinger, David Klahr & Martha W. Alibali - 2000 - Cognitive Science 24 (2):249-298.
    This study investigated the cognitive processes involved in inductive reasoning. Sixteen undergraduates solved quadratic function–finding problems and provided concurrent verbal protocols. Three fundamental areas of inductive activity were identified: Data Gathering, Pattern Finding, and Hypothesis Generation. These activities are evident in three different strategies that they used to successfully find functions. In all three strategies, Pattern Finding played a critical role not previously identified in the literature. In the most common strategy, called the Pursuit strategy, participants created new quantities from (...)
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