NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Fernando, Chrisantha – Cognitive Science, 2013
How do human infants learn the causal dependencies between events? Evidence suggests that this remarkable feat can be achieved by observation of only a handful of examples. Many computational models have been produced to explain how infants perform causal inference without explicit teaching about statistics or the scientific method. Here, we…
Descriptors: Brain Hemisphere Functions, Infants, Inferences, Causal Models
Peer reviewed Peer reviewed
Direct linkDirect link
Weisberg, Deena S.; Gopnik, Alison – Cognitive Science, 2013
Young children spend a large portion of their time pretending about non-real situations. Why? We answer this question by using the framework of Bayesian causal models to argue that pretending and counterfactual reasoning engage the same component cognitive abilities: disengaging with current reality, making inferences about an alternative…
Descriptors: Causal Models, Bayesian Statistics, Young Children, Imagination
Peer reviewed Peer reviewed
Direct linkDirect link
Lombrozo, Tania – Cognitive Psychology, 2010
Both philosophers and psychologists have argued for the existence of distinct kinds of explanations, including teleological explanations that cite functions or goals, and mechanistic explanations that cite causal mechanisms. Theories of causation, in contrast, have generally been unitary, with dominant theories focusing either on counterfactual…
Descriptors: Causal Models, Intention, Attribution Theory, Cognitive Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Goldstone, Robert L.; Pizlo, Zygmunt – Journal of Problem Solving, 2009
In November 2008 at Purdue University, the 2nd Workshop on Human Problem Solving was held. This workshop, which was a natural continuation of the first workshop devoted almost exclusively to optimization problems, addressed a wider range of topics that reflect the scope of the "Journal of Problem Solving." The workshop was attended by 35…
Descriptors: Problem Solving, Universities, Workshops, Educational Researchers
Peer reviewed Peer reviewed
Direct linkDirect link
Possel, Patrick; Seemann, Simone; Ahrens, Stefanie; Hautzinger, Martin – Journal of Youth and Adolescence, 2006
In Dodge's model of "social information processing" depression is the result of a linear sequence of five stages of information processing ("Annu Rev Psychol" 44: 559-584, 1993). These stages follow a person's reaction to situational stimuli, such that each stage of information processing mediates the relationship between earlier and later stages.…
Descriptors: Testing, Information Processing, Interpersonal Competence, Depression (Psychology)