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McCormack, Teresa; Frosch, Caren; Patrick, Fiona; Lagnado, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Three experiments examined children's and adults' abilities to use statistical and temporal information to distinguish between common cause and causal chain structures. In Experiment 1, participants were provided with conditional probability information and/or temporal information and asked to infer the causal structure of a 3-variable mechanical…
Descriptors: Probability, Age Differences, Children, Intervention
Sloman, Steven A. – Cognitive Science, 2013
Judea Pearl won the 2010 Rumelhart Prize in computational cognitive science due to his seminal contributions to the development of Bayes nets and causal Bayes nets, frameworks that are central to multiple domains of the computational study of mind. At the heart of the causal Bayes nets formalism is the notion of a counterfactual, a representation…
Descriptors: Causal Models, Cognitive Psychology, Cognitive Science, Cognitive Processes
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
Abdellatif, Hanaa R.; Cummings, Rhoda; Maddux, Cleborne D. – Education, 2008
The ability to use analogical reasoning traditionally has been considered a higher-level ability characteristic of thinking of older children and adults. Such reasoning has not been thought to be accessible to younger children. However, recently, it has been suggested that younger children's ability to understand and solve analogical problems…
Descriptors: Language Usage, Familiarity, Young Children, Logical Thinking
Sloman, Steven A.; Lagnado, David A. – Cognitive Science, 2005
A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines (1993; cf. Pearl, 2000). The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To…
Descriptors: Observation, Intervention, Causal Models, Prediction
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers