Quantum Probability (QP) Theory provides an alternative account of empirical phenomena in decision making that Classical Probability (CP) cannot explain. Cognitive architectures combine probabilistic mechanisms with symbolic knowledgebased 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. Powered by Editorial Manager® and Preprint Manager® from Aries Systems Corporation Name of the authors of the target article: Emmanuel M. Pothos & Jerome R. Busemeyer Word counts: Main text: 1000 References: 218 Entire text: 1218 Commentary title: Cognitive architectures combine formal and heuristic approaches Full names: Cleotilde Gonzalez 1 & Christian Lebiere 2 Affiliations: 1 Dynamic Decision Making Laboratory, Social and Decision Sciences Department; 2 Psychology Department; Carnegie Mellon University Full institution mailing address: Carnegie Mellon University 5000 Forbes Ave. Porter Hall 208 Pittsburgh, PA, 15213 Phone number: 412-268-6242 Email address: 1 coty@cmu.edu; 2 cl@cmu.edu Home page url: http://www.cmu.edu/ddmlab/
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