Constructing Causal Knowledge Representation with the Common Model of Cognition

Abstract

The field of causal learning was focused on associative learning models (Anderson, 1990;Anderson & Sheu, 1995) until the turn of the century when structural knowledge representation in cognitive architectures like ACT-R (Anderson & Lebiere, 1998; Glymour, 1999; Shoppek, 2001) allowed for a new approach to represent causal reasoning. Modern theories of causal inference have provided a new approach to model causal phenomena (