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  1. Causes versus enabling conditions.Patricia W. Cheng & Laura R. Novick - 1991 - Cognition 40 (1-2):83-120.
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  • Covariation in natural causal induction.Patricia W. Cheng & Laura R. Novick - 1992 - Psychological Review 99 (2):365-382.
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  • Assessing interactive causal influence.Laura R. Novick & Patricia W. Cheng - 2004 - Psychological Review 111 (2):455-485.
    The discovery of conjunctive causes--factors that act in concert to produce or prevent an effect--has been explained by purely covariational theories. Such theories assume that concomitant variations in observable events directly license causal inferences, without postulating the existence of unobservable causal relations. This article discusses problems with these theories, proposes a causal-power theory that overcomes the problems, and reports empirical evidence favoring the new theory. Unlike earlier models, the new theory derives (a) the conditions under which covariation implies conjunctive causation (...)
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • The power PC theory and causal powers: Comment on Cheng (1997) and Novick and Cheng (2004).Peter A. White - 2005 - Psychological Review 112 (3):675-682.
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  • The meaning and computation of causal power: Comment on Cheng (1997) and Novick and Cheng (2004).Christian C. Luhmann & Woo-Kyoung Ahn - 2005 - Psychological Review 112 (3):685-692.
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  • Is causal induction based on causal power? Critique of Cheng (1997).Klaus Lober & David R. Shanks - 2000 - Psychological Review 107 (1):195-212.
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  • Confirmation, disconfirmation, and information in hypothesis testing.Joshua Klayman & Young-won Ha - 1987 - Psychological Review 94 (2):211-228.
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  • From covariation to causation: A causal power theory.Patricia W. Cheng - 1997 - Psychological Review 104 (2):367-405.
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  • Constraints and nonconstraints in causal learning: Reply to White (2005) and to Luhmann and Ahn (2005).Patricia W. Cheng & Laura R. Novick - 2005 - Psychological Review 112 (3):694-706.
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  • The role of covariation versus mechanism information in causal attribution.Woo-Kyoung Ahn, Charles W. Kalish, Douglas L. Medin & Susan A. Gelman - 1995 - Cognition 54 (3):299-352.
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