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  1. Contraries as an effective strategy in geometrical problem solving.Erika Branchini, Roberto Burro, Ivana Bianchi & Ugo Savardi - 2015 - Thinking and Reasoning 21 (4):397-430.
    A focused review of the literature on reasoning suggests that mechanisms based upon contraries are of fundamental importance in various abilities. At the same time, the importance of contraries in the human perceptual experience of space has been recently demonstrated in experimental studies. Solving geometry problems represents an interesting case as both reasoning abilities and the manipulation of perceptual–figural aspects are involved.In this study we focus on perceptual changes in geometrical problem solving processes in order to understand whether a mental (...)
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  • Intuitive And Reflective Responses In Philosophy.Nick Byrd - 2014 - Dissertation, University of Colorado
    Cognitive scientists have revealed systematic errors in human reasoning. There is disagreement about what these errors indicate about human rationality, but one upshot seems clear: human reasoning does not seem to fit traditional views of human rationality. This concern about rationality has made its way through various fields and has recently caught the attention of philosophers. The concern is that if philosophers are prone to systematic errors in reasoning, then the integrity of philosophy would be threatened. In this paper, I (...)
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  • On theories of belief bias in syllogistic reasoning.Jane Oakhill & Alan Garnham - 1993 - Cognition 46 (1):87-92.
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  • Mental models and probabilistic thinking.Philip N. Johnson-Laird - 1994 - Cognition 50 (1-3):189-209.
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  • Choosing a unifying theory for cognitive development.Thomas R. Shultz - 1992 - Behavioral and Brain Sciences 15 (3):456-457.
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  • On putting the cart before the horse: Taking perception seriously in unified theories of cognition.Kim J. Vicente & Alex Kirlik - 1992 - Behavioral and Brain Sciences 15 (3):461-462.
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  • Unified cognitive theory: You can't get there from here.Derek Bickerton - 1992 - Behavioral and Brain Sciences 15 (3):437-438.
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  • A unified theory for psychologists?Richard A. Carlson & Mark Detweiler - 1992 - Behavioral and Brain Sciences 15 (3):440-440.
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  • Toward unified cognitive theory: The path is well worn and the trenches are deep.John M. Carroll - 1992 - Behavioral and Brain Sciences 15 (3):441-441.
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  • Re-membering cognition.Susan F. Chipman - 1992 - Behavioral and Brain Sciences 15 (3):441-442.
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  • A cognitive theory without inductive learning.Lev Goldfarb - 1992 - Behavioral and Brain Sciences 15 (3):446-447.
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  • Scientific thinking and mental models.Ryan D. Tweney - 1993 - Behavioral and Brain Sciences 16 (2):366-367.
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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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  • Mental-model theory and rationality.Pascal Engel - 1993 - Behavioral and Brain Sciences 16 (2):345-345.
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  • On rules, models and understanding.Jonathan St B. T. Evans - 1993 - Behavioral and Brain Sciences 16 (2):345-346.
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  • Mental models and informal logic.Alec Fisher - 1993 - Behavioral and Brain Sciences 16 (2):349-349.
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  • Why study deduction?Kathleen M. Galotti & Lloyd K. Komatsu - 1993 - Behavioral and Brain Sciences 16 (2):350-350.
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  • Everyday reasoning and logical inference.Jon Barwise - 1993 - Behavioral and Brain Sciences 16 (2):337-338.
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  • Strategies in Syllogistic Reasoning.Monica Bucciarelli & P. N. Johnson-Laird - 1999 - Cognitive Science 23 (3):247-303.
    This paper is about syllogistic reasoning, i.e., reasoning from such pairs of premises as, All the chefs are musicians; some of the musicians are painters. We present a computer model that implements the latest account of syllogisms, which is based on the theory of mental models. We also report four experiments that were designed to test this account. Experiments 1 and 2 examined the strategies revealed by the participants' use of paper and pencil as aids to reasoning. Experiment 3 used (...)
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  • Do We “do‘?Steven A. Sloman & David A. Lagnado - 2005 - Cognitive Science 29 (1):5-39.
    A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines. The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To represent intervention, Pearl employed the do operator that simplifies the structure of a causal model by disconnecting an intervened-on variable from its normal causes. Construing the do operator as a psychological function affords predictions about how people (...)
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  • Mathematical thought in the light of Matte Blanco’s work.Giuseppe Iurato - 2013 - Philosophy of Mathematics Education Journal 27:1-9.
    Taking into account some basic epistemological considerations on psychoanalysis by Ignacio Matte Blanco, it is possible to deduce some first simple remarks on certain logical aspects of schizophrenic reasoning. Further remarks on mathematical thought are also made in the light of what established, taking into account the comparison with the schizophrenia pattern.
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  • Reasoning with quantifiers.Bart Geurts - 2003 - Cognition 86 (3):223--251.
    In the semantics of natural language, quantification may have received more attention than any other subject, and one of the main topics in psychological studies on deductive reasoning is syllogistic inference, which is just a restricted form of reasoning with quantifiers. But thus far the semantical and psychological enterprises have remained disconnected. This paper aims to show how our understanding of syllogistic reasoning may benefit from semantical research on quantification. I present a very simple logic that pivots on the monotonicity (...)
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  • Reasoning about relations: Spatial and nonspatial problems.Manuel Carreiras & Carlos Santamaria - 1997 - Thinking and Reasoning 3 (3):191 – 208.
    Two experiments investigated the mental representation of spatial and nonspatial two-dimensional problems. The experiments were designed to contrast opposite predictions of the model theory of reasoning and the formal rules of inference theories. Half of the problems required more inferential steps but only one model, whereas the other half required fewer inferential steps but two models. According to the inference rules, theory problems that require more inferential steps should be harder, whereas the model-based theory predicts that problems that require two (...)
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  • (1 other version)A cognitive theory of graphical and linguistic reasoning: Logic and implementation. Cognitive science.Keith Stenning & Jon Oberlander - 1995 - Cognitive Science 19 (1):97-140.
    We discuss external and internal graphical and linguistic representational systems. We argue that a cognitive theory of peoples' reasoning performance must account for (a) the logical equivalence of inferences expressed in graphical and linguistic form; and (b) the implementational differences that affect facility of inference. Our theory proposes that graphical representations limit abstraction and thereby aid processibility. We discuss the ideas of specificity and abstraction, and their cognitive relevance. Empirical support comes from tasks (i) involving and (ii) not involving the (...)
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  • Goals for a theory of deduction: Reply to Johnson-Laird. [REVIEW]Lance J. Rips - 1997 - Minds and Machines 7 (3):409-424.
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  • Is logicist cognitive science possible?Alan Garnham - 1993 - Mind and Language 8 (1):49-71.
    This paper argues against Oaksford and Chater's claim that logicist cognitive science is not possible. It suggests that there arguments against logicist cognitive science are too closely tied to the account of Pylyshyn and of Fodor, and that the correct way of thinking about logicist cognitive science is in a mental models framework.
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  • The influence of polarity items on inferential judgments.Milica Denić, Vincent Homer, Daniel Rothschild & Emmanuel Chemla - 2021 - Cognition 215 (C):104791.
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  • Great Minds do not Think Alike: Philosophers’ Views Predicted by Reflection, Education, Personality, and Other Demographic Differences.Nick Byrd - 2023 - Review of Philosophy and Psychology 14 (2):647-684.
    Prior research found correlations between reflection test performance and philosophical tendencies among laypeople. In two large studies (total N = 1299)—one pre-registered—many of these correlations were replicated in a sample that included both laypeople and philosophers. For example, reflection test performance predicted preferring atheism over theism and instrumental harm over harm avoidance on the trolley problem. However, most reflection-philosophy correlations were undetected when controlling for other factors such as numeracy, preferences for open-minded thinking, personality, philosophical training, age, and gender. Nonetheless, (...)
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  • Not All Who Ponder Count Costs: Arithmetic reflection predicts utilitarian tendencies, but logical reflection predicts both deontological and utilitarian tendencies.Nick Byrd & Paul Conway - 2019 - Cognition 192 (103995).
    Conventional sacrificial moral dilemmas propose directly causing some harm to prevent greater harm. Theory suggests that accepting such actions (consistent with utilitarian philosophy) involves more reflective reasoning than rejecting such actions (consistent with deontological philosophy). However, past findings do not always replicate, confound different kinds of reflection, and employ conventional sacrificial dilemmas that treat utilitarian and deontological considerations as opposite. In two studies, we examined whether past findings would replicate when employing process dissociation to assess deontological and utilitarian inclinations independently. (...)
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  • The Selective Laziness of Reasoning.Emmanuel Trouche, Petter Johansson, Lars Hall & Hugo Mercier - 2015 - Cognitive Science 40 (8):2122-2136.
    Reasoning research suggests that people use more stringent criteria when they evaluate others' arguments than when they produce arguments themselves. To demonstrate this “selective laziness,” we used a choice blindness manipulation. In two experiments, participants had to produce a series of arguments in response to reasoning problems, and they were then asked to evaluate other people's arguments about the same problems. Unknown to the participants, in one of the trials, they were presented with their own argument as if it was (...)
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  • Theories of reasoning and the representational level: A reply to Oaksford.Carlos Santamaría, Orlando Espino & Juan A. García-Madruga - 2001 - Thinking and Reasoning 7 (2):209-213.
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  • The processing of negations in conditional reasoning: A meta-analytic case study in mental model and/or mental logic theory.Walter J. Schroyens, Walter Schaeken & Géry D'Ydewalle - 2001 - Thinking and Reasoning 7 (2):121-172.
    We present a meta-analytic review on the processing of negations in conditional reasoning about affirmation problems (Modus Ponens: “MP”, Affirmation of the Consequent “AC”) and denial problems (Denial of the Antecedent “DA”, and Modus Tollens “MT”). Findings correct previous generalisations about the phenomena. First, the effects of negation in the part of the conditional about which an inference is made, are not constrained to denial problems. These inferential-negation effects are also observed on AC. Second, there generally are reliable effects of (...)
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  • Believability and syllogistic reasoning.Jane Oakhill, P. N. Johnson-Laird & Alan Garnham - 1989 - Cognition 31 (2):117-140.
    In this paper we investigate the locus of believability effects in syllogistic reasoning. We identify three points in the reasoning process at which such effects could occur: the initial interpretation of premises, the examination of alternative representations of them (in all of which any valid conclusion must be true), and the “filtering” of putative conclusions. The effect of beliefs at the first of these loci is well established. In this paper we report three experiments that examine whether beliefs have an (...)
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  • Paralogical reasoning: Evans, Johnson-Laird, and Byrne on liar and truth-teller puzzles.Lance J. Rips - 1990 - Cognition 36 (3):291-314.
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  • The source of belief bias effects in syllogistic reasoning.Stephen E. Newstead, Paul Pollard, Jonathan StB. T. Evans & Julie L. Allen - 1992 - Cognition 45 (3):257-284.
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  • The mental model theory of conditional reasoning: critical appraisal and revision.Jonathan StB. T. Evans - 1993 - Cognition 48 (1):1-20.
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  • Two modes of mental representation and problem solution in syllogistic reasoning.Marilyn Ford - 1995 - Cognition 54 (1):1-71.
    In this paper, the theory of syllogistic reasoning proposed by Johnson-Laird is shown to be inadequate and an alternative theory is put forward. Protocols of people attempting to solve syllogistic problems and explaining to another person how they reached their conclusions were obtained. Two main groups of subjects were identified. One group represented the relationship between classes in a spatial manner that was supplemented by a verbal representation. The other group used a primarily verbal representation. A detailed theory of the (...)
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  • SOAR as a unified theory of cognition: Issues and explanations.Allen Newell - 1992 - Behavioral and Brain Sciences 15 (3):464-492.
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  • A psychologically implausible architecture that is always conscious, always active.Mark Vincent LaPolla & Bernard J. Baars - 1992 - Behavioral and Brain Sciences 15 (3):448-449.
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  • Unified cognition misses language.Csaba Pléh - 1992 - Behavioral and Brain Sciences 15 (3):451-453.
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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.
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  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
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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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  • 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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  • Do mental models provide an adequate account of syllogistic reasoning performance?Stephen E. Newstead - 1993 - Behavioral and Brain Sciences 16 (2):359-360.
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  • Mental models and the tractability of everyday reasoning.Mike Oaksford - 1993 - Behavioral and Brain Sciences 16 (2):360-361.
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  • A number of questions about a question of number.Alan Garnham - 1993 - Behavioral and Brain Sciences 16 (2):350-351.
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  • Deduction as an example of thinking.Jonathan Baron - 1993 - Behavioral and Brain Sciences 16 (2):336-337.
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  • Mental models and tableau logic.Avery D. Andrews - 1993 - Behavioral and Brain Sciences 16 (2):334-334.
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  • Mental probability logic.Niki Pfeifer & Gernot D. Kleiter - 2009 - Behavioral and Brain Sciences 32 (1):98-99.
    We discuss O&C's probabilistic approach from a probability logical point of view. Specifically, we comment on subjective probability, the indispensability of logic, the Ramsey test, the consequence relation, human nonmonotonic reasoning, intervals, generalized quantifiers, and rational analysis.
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