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  1. Model‐Based Explanation of Feedback Effects in Syllogistic Reasoning.Daniel Brand, Nicolas Riesterer & Marco Ragni - 2022 - Topics in Cognitive Science 14 (4):828-844.
    We apply three state‐of‐the‐art models for syllogistic reasoning to data from experiments where participants received feedback for their conclusions in order to demonstrate the use of model parameters to derive new hypotheses and present possible explanations for the feedback effect.
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  • Logic, Probability, and Pragmatics in Syllogistic Reasoning.Michael Henry Tessler, Joshua B. Tenenbaum & Noah D. Goodman - 2022 - Topics in Cognitive Science 14 (3):574-601.
    Topics in Cognitive Science, Volume 14, Issue 3, Page 574-601, July 2022.
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  • The stability of syllogistic reasoning performance over time.Hannah Dames, Karl Christoph Klauer & Marco Ragni - 2022 - Thinking and Reasoning 28 (4):529-568.
    How individuals reason deductively has concerned researchers for many years. Yet, it is still unclear whether, and if so how, participants’ reasoning performance changes over time. In two test sessions one week apart, we examined how the syllogistic reasoning performance of 100 participants changed within and between sessions. Participants’ reasoning performance increased during the first session. A week later, they started off at the same level of reasoning performance but did not further improve. The reported performance gains were only found (...)
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