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  1. Components of human intelligence.Robert J. Sternberg - 1983 - Cognition 15 (1-3):1-48.
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  • Visual cognition: An introduction.Steven Pinker - 1984 - Cognition 18 (1-3):1-63.
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  • When is a picture worth so many words?Ralph Norman Haber - 1983 - Behavioral and Brain Sciences 6 (1):147-148.
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  • Why it is unsurprising that ape “language training” enhances “completing incomplete (external) representations of action”.Justin Leiber - 1983 - Behavioral and Brain Sciences 6 (1):151-151.
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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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  • Models for deontic deduction.K. I. Manktelow - 1993 - Behavioral and Brain Sciences 16 (2):357-357.
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  • Structural representation and surrogative reasoning.Chris Swoyer - 1991 - Synthese 87 (3):449 - 508.
    It is argued that a number of important, and seemingly disparate, types of representation are species of a single relation, here called structural representation, that can be described in detail and studied in a way that is of considerable philosophical interest. A structural representation depends on the existence of a common structure between a representation and that which it represents, and it is important because it allows us to reason directly about the representation in order to draw conclusions about the (...)
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  • On the demystification of mental imagery.Stephen M. Kosslyn, Steven Pinker, Sophie Schwartz & G. Smith - 1979 - Behavioral and Brain Sciences 2 (4):535-81.
    What might a theory of mental imagery look like, and how might one begin formulating such a theory? These are the central questions addressed in the present paper. The first section outlines the general research direction taken here and provides an overview of the empirical foundations of our theory of image representation and processing. Four issues are considered in succession, and the relevant results of experiments are presented and discussed. The second section begins with a discussion of the proper form (...)
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  • Transitive Inference over Affective Representations in Non-Human Animals.Sanja Srećković - forthcoming - Review of Philosophy and Psychology:1-33.
    The mainstream philosophical approach to inference, which insists on sentence-like representations and a linguistic capability, excludes non-human animals as possible agents capable of making inferences. However, an abundance of studies show that many animal species exhibit behaviors that seem to rely on some kind of reasoning. My focus here are the transitive inference tasks, which most species solve quite successfully. These findings put pressure on the mainstream views, and still lack a convincing explanation. I introduce the concept of affective representations, (...)
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  • Self-generated cognitive fluency: consequences on evaluative judgments.Ulrich von Hecker, Paul H. P. Hanel, Zixi Jin & Piotr Winkielman - 2023 - Cognition and Emotion 37 (2):254-270.
    People can support abstract reasoning by using mental models with spatial simulations. Such models are employed when people represent elements in terms of ordered dimensions (e.g. who is oldest, Tom, Dick, or Harry). We test and find that the process of forming and using such mental models can influence the liking of its elements (e.g. Tom, Dick, or Harry). The presumed internal structure of such models (linear-transitive array of elements), generates variations in processing ease (fluency) when using the model in (...)
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  • A symbolic-connectionist theory of relational inference and generalization.John E. Hummel & Keith J. Holyoak - 2003 - Psychological Review 110 (2):220-264.
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  • The imagery debate: a controversy over terms and cognitive styles.Janice M. Keenan & Richard K. Olson - 1979 - Behavioral and Brain Sciences 2 (4):558-559.
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  • Representation without process?John R. Anderson - 1983 - Behavioral and Brain Sciences 6 (1):137-138.
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  • The codes of man and beasts.David Premack - 1983 - Behavioral and Brain Sciences 6 (1):125-136.
    Exposing the chimpanzee to language training appears to enhance the animal's ability to perform some kinds of tasks but not others. The abilities that are enhanced involve abstract judgment, as in analogical reasoning, matching proportions of physically unlike exemplars, and completing incomplete representations of action. The abilities that do not improve concern the location of items in space and the inferences one might make in attempting to obtain them. Representing items in space and making inferences about them could be done (...)
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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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  • More models just means more difficulty.N. E. Wetherick - 1993 - Behavioral and Brain Sciences 16 (2):367-368.
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  • Situation theory and mental models.Alice G. B. ter Meulen - 1993 - Behavioral and Brain Sciences 16 (2):358-359.
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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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  • 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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  • Thinking Visually.Kris N. Kirby & Stephen M. Kosslyn - 1990 - Mind and Language 5 (4):324-341.
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  • Evidence for mental-model-based reasoning: A comparison of reasoning with time and space concepts.Andre Vandierendonck - 1996 - Thinking and Reasoning 2 (4):249 – 272.
    Johnson -Laird has argued that spatial reasoning is based on the construction and manipulation of mental models in memory. The present article addresses the question of whether reasoning about time relations is constrained by the same factors as reasoning about spatial relations. An experiment is reported that explored the similarities and the differences in the performance of subjects in comparable spatial and temporal reasoning tasks. The results indicated that, in both the temporal and the spatial content domains, the data were (...)
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  • Transitive and pseudo-transitive inferences.Geoffrey P. Goodwin & P. N. Johnson-Laird - 2008 - Cognition 108 (2):320-352.
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  • Syllogistic inference.P. N. Johnson-Laird & Bruno G. Bara - 1984 - Cognition 16 (1):1-61.
    This paper reviews current psychological theories of syllogistic inference and establishes that despite their various merits they all contain deficiencies as theories of performance. It presents the results of two experiments, one using syllogisms and the other using three-term series problems, designed to elucidate how the arrangement of terms within the premises affects performance. These data are used in the construction of a theory based on the hypothesis that reasoners construct mental models of the premises, formulate informative conclusions about the (...)
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  • Images and inference.Robert K. Lindsay - 1988 - Cognition 29 (3):229-250.
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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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  • Mental models and the tractability of everyday reasoning.Mike Oaksford - 1993 - Behavioral and Brain Sciences 16 (2):360-361.
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  • On modes of explanation.Rachel Joffe Falmagne - 1993 - Behavioral and Brain Sciences 16 (2):346-347.
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  • Mental models and informal logic.Alec Fisher - 1993 - Behavioral and Brain Sciences 16 (2):349-349.
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  • Mental models and temporal reasoning.Walter Schaeken, P. N. Johnson-Laird & Gery D'Ydewalle - 1996 - Cognition 60 (3):205-234.
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  • The “thoughtless imagery” controversy.P. N. Johnson-Laird - 1979 - Behavioral and Brain Sciences 2 (4):557-558.
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  • The image-like and the language-like.Benny Shanon - 1979 - Behavioral and Brain Sciences 2 (4):566-567.
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  • Imagining the purpose of imagery.Robert P. Abelson - 1979 - Behavioral and Brain Sciences 2 (4):548-549.
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  • The pros and cons of having a word for it.S. F. Walker - 1983 - Behavioral and Brain Sciences 6 (1):156-157.
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  • Nonsentential representation and nonformality.Keith Stenning & Jon Oberlander - 1993 - Behavioral and Brain Sciences 16 (2):365-366.
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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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  • Tractability considerations in deduction.James M. Crawford - 1993 - Behavioral and Brain Sciences 16 (2):343-343.
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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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  • Abstract codes are not just for chimpanzees.Thomas R. Zentall - 1983 - Behavioral and Brain Sciences 6 (1):157-158.
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  • On the function of mental imagery.David L. Waltz - 1979 - Behavioral and Brain Sciences 2 (4):569-570.
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  • Are Rank Orders Mentally Represented by Spatial Arrays?Ulrich von Hecker & Karl Christoph Klauer - 2021 - Frontiers in Psychology 12.
    The present contribution argues that transitive reasoning, as exemplified in paradigms of linear order construction in mental space, is associated with spatial effects. Starting from robust findings from the early 70s, research so far has widely discussed the symbolic distance effect. This effect shows that after studying pairs of relations, e.g., “A > B,” “B > C,” and “D > E,” participants are more correct, and faster in correct responding, the wider the “distance” between two elements within the chain A (...)
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  • The wording of conclusions in relational reasoning.Jean-Baptiste Van der Henst & Walter Schaeken - 2005 - Cognition 97 (1):1-22.
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  • Symposium on “Cognition and Rationality: Part I” Relevance effects in reasoning.Jean-Baptiste Van der Henst - 2006 - Mind and Society 5 (2):229-245.
    Reasoning research has focussed mainly on the type of cognitive processes involved when representing premises and when producing conclusions. But less is known about the factors that guide these representational and inferential processes. What premises are actually taken as input in reasoning? And what conclusions are intended? In this paper it is argued that considerations of relevance (Sperber and Wilson, Relevance: communication and cognition. Blackwell, Oxford, 1995) are helpful for addressing these issues as a pragmatic analysis of two sorts of (...)
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  • Strategies in sentential reasoning.Jean-Baptiste Van der Henst, Yingrui Yang & P. N. Johnson-Laird - 2002 - Cognitive Science 26 (4):425-468.
    Four experiments examined the strategies that individuals develop in sentential reasoning. They led to the discovery of five different strategies. According to the theory proposed in the paper, each of the strategies depends on component tactics, which all normal adults possess, and which are based on mental models. Reasoners vary their use of tactics in ways that have no deterministic account. This variation leads different individuals to assemble different strategies, which include the construction of incremental diagrams corresponding to mental models, (...)
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  • Strategies in sentential reasoning.Jean-Baptiste Van Der Henst, Yingrui Yang & Johnson-Laird N. Philip - 2002 - Cognitive Science 26 (4):425-468.
    Four experiments examined the strategies that individuals develop in sentential reasoning. They led to the discovery of five different strategies. According to the theory proposed in the paper, each of the strategies depends on component tactics, which all normal adults possess, and which are based on mental models. Reasoners vary their use of tactics in ways that are not deterministic. This variation leads different individuals to assemble different strategies, which include the construction of incremental diagram corresponding to mental models, and (...)
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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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  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
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  • On spatial symbols.William E. Smythe & Paul A. Kolers - 1979 - Behavioral and Brain Sciences 2 (4):568-569.
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  • A new abstract code or the new possibility of multiple codes?Annette Karmiloff Smith - 1983 - Behavioral and Brain Sciences 6 (1):149-150.
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  • Visual imagery and the limits of comprehension.Marc Krellenstein - 1994 - Dissertation, New School for Social Research
    I examined the proposition that there are psychological limits on what scientific problems can be solved, and that these limits may be based on a failure to be able to produce imagable, observation-based models for any possible solution, a position suggested by philosopher Colin McGinn in an argument attempting to prove that the mind-body problem is unsolvable. I examined another likely candidate for an unsolvable problem -- the ultimate origin of the universe (i.e., what might have preceded the Big Bang (...)
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  • Metaphor versus reality in the understanding of imagery: the path from function to structure.Peter W. Sheehan - 1979 - Behavioral and Brain Sciences 2 (4):567-568.
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