title: Cognitive architectures combine formal and heuristic approaches.
abstract: Quantum probability (QP) theory provides an alternative account of empirical phenomena in decision making that classical probability (CP) theory cannot explain. Cognitive architectures combine probabilistic mechanisms with symbolic knowledge-based representations (e.g., heuristics) to address effects that motivate QP. They provide simple and natural explanations of these phenomena based on general cognitive processes such as memory retrieval, similarity-based partial matching, and associative learning.
authors.affiliation: Social and Decision Sciences Department, Dynamic Decision Making Laboratory, Carnegie Mellon University, Pittsburgh, PA 15213, USA. coty@cmu.edu
authors.forename: Cleotilde
authors.initials: C
authors.lastname: Gonzalez
authors.forename: Christian
authors.initials: C
authors.lastname: Lebiere
mesh_terms: D003071:Cognition; D006801:Humans; D008960:Models, Psychological; D011338:Probability Theory; D011789:Quantum Theory