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  1. The link between transitive reasoning and mathematics achievement in preadolescence: the role of relational processing and deductive reasoning.Terry Tin-Yau Wong & Kinga Morsanyi - 2023 - Thinking and Reasoning 29 (4):531-558.
    The link between logic and mathematics has long been recognized by theorists from various fields. For instance, the mathematician, Bertrand Russell (1919), described logic and math as intrinsically...
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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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  • Editorial: The role of reasoning in mathematical thinking.Kinga Morsanyi, Jérôme Prado & Lindsey E. Richland - 2018 - Thinking and Reasoning 24 (2):129-137.
    Research into mathematics often focuses on basic numerical and spatial intuitions, and one key property of numbers: their magnitude. The fact that mathematics is a system of complex relationships that invokes reasoning usually receives less attention. The purpose of this special issue is to highlight the intricate connections between reasoning and mathematics, and to use insights from the reasoning literature to obtain a more complete understanding of the processes that underlie mathematical cognition. The topics that are discussed range from the (...)
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  • (2 other versions)Avian cognition and social interaction: Fifty years of advances.Irene M. Pepperberg - 2011 - Interaction Studies 12 (2):195-207.
    The study of animal behavior, and particularly avian behavior, has advanced significantly in the past 50 years. In the early 1960s, both ethologists and psychologists were likely to see birds as simple automatons, incapable of complex cognitive processing. Indeed, the term “avian cognition“ was considered an oxymoron. Avian social interaction was also seen as based on rigid, if sometimes complicated, patterns. The possible effect of social interaction on cognition, or vice versa, was therefore something almost never discussed. Two paradigm shifts—one (...)
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  • Children’s performance on set-inclusion and linear-ordering relationships.Stephen E. Newstead, Stephanie Keeble & Kenneth I. Manktelow - 1985 - Bulletin of the Psychonomic Society 23 (2):105-108.
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  • Inference errors in deductive reasoning.Louis S. Dickstein - 1980 - Bulletin of the Psychonomic Society 16 (6):414-416.
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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 Neural Signatures of Processing Semantic End Values in Automatic Number Comparisons.Michal Pinhas, Chananel Buchman, Dmitri Lavro, David Mesika, Joseph Tzelgov & Andrea Berger - 2015 - Frontiers in Human Neuroscience 9.
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  • Predicting the difficulty of complex logical reasoning problems.Stephen E. Newstead, Peter Bradon, Simon J. Handley, Ian Dennis & Jonathan St B. T. Evans - 2006 - Thinking and Reasoning 12 (1):62 – 90.
    The aim of the present research was to develop a difficulty model for logical reasoning problems involving complex ordered arrays used in the Graduate Record Examination. The approach used involved breaking down the problems into their basic cognitive elements such as the complexity of the rules used, the number of mental models required to represent the problem, and question type. Weightings for these different elements were derived from two experimental studies and from the reasoning literature. Based on these weights, difficulty (...)
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  • Reproductive and productive recall of set inclusion information.Richard A. Griggs - 1977 - Bulletin of the Psychonomic Society 9 (2):148-150.
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  • Encoding partially ordered information.Richard A. Griggs, Donald M. Keen & Susan A. Warner - 1980 - Bulletin of the Psychonomic Society 15 (5):299-302.
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