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Teigen, Karl Halvor; Juanchich, Marie; Riege, Anine H. – Cognition, 2013
Research on verbal probabilities has shown that "unlikely" or "improbable" events are believed to correspond to numerical probability values between 10% and 30%. However, building on a pragmatic approach of verbal probabilities and a new methodology, the present paper shows that unlikely outcomes are most often associated with outcomes that have a…
Descriptors: Probability, Expertise, Computation, Causal Models
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Ali, Nilufa; Chater, Nick; Oaksford, Mike – Cognition, 2011
In this paper, two experiments are reported investigating the nature of the cognitive representations underlying causal conditional reasoning performance. The predictions of causal and logical interpretations of the conditional diverge sharply when inferences involving "pairs" of conditionals--such as "if P[subscript 1] then Q" and "if P[subscript…
Descriptors: Cognitive Processes, Causal Models, Logical Thinking, Inferences
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Reggev, Niv; Hassin, Ran R.; Maril, Anat – Cognition, 2012
Fluency, the subjective experience of ease associated with information processing, has been shown to affect a host of judgments. Previous research has typically focused on specific factors that affect the use of a single, specific fluency source. In the present study we examine how cognitive mindsets, or processing modes, moderate fluency…
Descriptors: Familiarity, Information Processing, Cognitive Processes, Reading Fluency
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Cimpian, Andrei; Markman, Ellen M. – Cognition, 2009
Generic sentences (e.g., "Snakes have holes in their teeth") convey that a property (e.g., having holes in one's teeth) is true of a category (e.g., snakes). We test the hypothesis that, in addition to this basic aspect of their meaning, generic sentences also imply that the information they express is more conceptually central than the…
Descriptors: Young Children, Scientific Concepts, Biology, Classification
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Chaigneau, Sergio E.; Castillo, Ramon D.; Martinez, Luis – Cognition, 2008
Participants learned about novel artifacts that were created for function X, but later used for function Y. When asked to rate the extent to which X and Y were a given artifact's function, participants consistently rated X higher than Y. In Experiments 1 and 2, participants were also asked to rate artifacts' efficiency to perform X and Y. This…
Descriptors: Inferences, Causal Models, Theories, Intention
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Shafto, Patrick; Kemp, Charles; Bonawitz, Elizabeth Baraff; Coley, John D.; Tenenbaum, Joshua B. – Cognition, 2008
Different intuitive theories constrain and guide inferences in different contexts. Formalizing simple intuitive theories as probabilistic processes operating over structured representations, we present a new computational model of category-based induction about causally transmitted properties. A first experiment demonstrates undergraduates'…
Descriptors: Causal Models, Logical Thinking, Cognitive Psychology, Inferences
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Kushnir, Tamar; Wellman, Henry M.; Gelman, Susan A. – Cognition, 2008
Preschoolers use information from interventions, namely intentional actions, to make causal inferences. We asked whether children consider some interventions to be more informative than others based on two components of an actor's knowledge state: whether an actor "possesses" causal knowledge, and whether an actor is allowed to "use" their…
Descriptors: Causal Models, Toys, Inferences, Preschool Children
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Perales, Jose C.; Catena, Andres; Maldonado, Antonio; Candido, Antonio – Cognition, 2007
The present study is aimed at identifying how prior causal beliefs and covariation information contribute to belief updating when evidence, either compatible or contradictory with those beliefs, is provided. Participants were presented with a cover story with which it was intended to activate or generate a causal belief. Variables related to the…
Descriptors: Cognitive Processes, Role, Beliefs, Causal Models
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Griffiths, Thomas L.; Tenenbaum, Joshua B. – Cognition, 2007
People's reactions to coincidences are often cited as an illustration of the irrationality of human reasoning about chance. We argue that coincidences may be better understood in terms of rational statistical inference, based on their functional role in processes of causal discovery and theory revision. We present a formal definition of…
Descriptors: Probability, Statistical Inference, Bayesian Statistics, Theories
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Lombrozo, Tania; Carey, Susan – Cognition, 2006
Teleological explanations (TEs) account for the existence or properties of an entity in terms of a function: we have hearts because they pump blood, and telephones for communication. While many teleological explanations seem appropriate, others are clearly not warranted--for example, that rain exists for plants to grow. Five experiments explore…
Descriptors: Philosophy, Experiments, Psychology, Artificial Intelligence