Covariation, Structure and Generalization: Building Blocks of Causal Cognition
General Material Designation
[Article]
First Statement of Responsibility
Murphy, Robin A.; Mondragón, Esther; Murphy, Victoria A.
SUMMARY OR ABSTRACT
Text of Note
Theories of causal cognition describe how animals code cognitive primitives such as causal strength, directionality of relations, and other variables that allow inferences on the effect of interventions on causal links. We argue that these primitives and importantly causal generalization can be studied within an animal learning framework. Causal maps and other Bayesian approaches provide a normative framework for studying causal cognition, and associative theory provides algorithms for computing the acquisition of data-driven causal knowledge.
SET
Date of Publication
2009
Title
International Journal of Comparative Psychology
Volume Number
22/1
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Murphy, Robin A.; Mondragón, Esther; Murphy, Victoria A.