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  1. Can conditionals explain explanations? A modus ponens model of B because A.Simone Sebben & Johannes Ullrich - 2021 - Cognition 215 (C):104812.
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  • The Relation Between Factual and Counterfactual Conditionals.Ana Cristina Quelhas, Célia Rasga & P. N. Johnson-Laird - 2018 - Cognitive Science 42 (7):2205-2228.
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  • The Analytic Truth and Falsity of Disjunctions.Ana Cristina Quelhas, Célia Rasga & P. N. Johnson-Laird - 2019 - Cognitive Science 43 (9).
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  • A Priori True and False Conditionals.Ana Cristina Quelhas, Célia Rasga & Philip N. Johnson-Laird - 2017 - Cognitive Science 41 (S5):1003-1030.
    The theory of mental models postulates that meaning and knowledge can modulate the interpretation of conditionals. The theory's computer implementation implied that certain conditionals should be true or false without the need for evidence. Three experiments corroborated this prediction. In Experiment 1, nearly 500 participants evaluated 24 conditionals as true or false, and they justified their judgments by completing sentences of the form, It is impossible that A and ___ appropriately. In Experiment 2, participants evaluated 16 conditionals and provided their (...)
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  • Vittorio Girotto.Paolo Legrenzi & Phil Johnson-Laird - 2017 - Thinking and Reasoning 23 (1):1-9.
  • Facts and Possibilities: A Model‐Based Theory of Sentential Reasoning.Sangeet S. Khemlani, Ruth M. J. Byrne & Philip N. Johnson‐Laird - 2018 - Cognitive Science 42 (6):1887-1924.
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  • What happened to the “new paradigm”? A commentary on Knauff and Gazzo Castañeda.P. N. Johnson-Laird & Sangeet Khemlani - forthcoming - Thinking and Reasoning:1-7.
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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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  • Probabilistic representation in syllogistic reasoning: A theory to integrate mental models and heuristics.Masasi Hattori - 2016 - Cognition 157 (C):296-320.
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  • The Truth of Conditional Assertions.Geoffrey P. Goodwin & P. N. Johnson‐Laird - 2018 - Cognitive Science 42 (8):2502-2533.
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  • The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.
    Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...)