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Cognitive architectures combine formal and heuristic approaches

Published online by Cambridge University Press:  14 May 2013

Cleotilde Gonzalez  and
Christian Lebiere
Cleotilde Gonzalez
Affiliation:
Social and Decision Sciences Department, Dynamic Decision Making Laboratory, Carnegie Mellon University, Pittsburgh, PA 15213. [email protected]://www.cmu.edu/ddmlab/
Christian Lebiere
Affiliation:
Psychology Department, Carnegie Mellon University, Pittsburgh, PA 15213. [email protected]://www.cmu.edu/ddmlab/
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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.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 285 - 286
Copyright
Copyright © Cambridge University Press 2013 

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