Full day tutorial on Quantum models of cognition and decision
Jerome R. Busemeyer, Peter Bruza, Taiki Takahashi +1 more
Full Day Tutorial on Quantum Models of Cognition and Decision Zheng (Joyce) Wang (wang.1243@osu.edu) School of Communications, Center for Cognitive and Brain Sciences The Ohio State University, Columbus, OH 43210 USA Jerome R. Busemeyer (jbusemey@indiana.edu) Cognitive Science, Indiana University, 1101 E. 10th Street, Bloomington, IN 47405 USA Jennifer S. Trueblood (jstruebl@uci.edu) Department of Cognitive Sciences, University of California, Irvine Irvine, CA 92697 USA Keywords: classical information processing; quantum information processing; logic and mathematical foundation; Bayesian probability; quantum probability; Markov and quantum processes; quantum entanglement; quantum game theory; conceptual combinations; decision making; memory. Presenters Zheng (Joyce) Wang is an associate professor at The Ohio State University. She was Co-Editor for a special issue on quantum cognition that appeared in Topics in Cognitive Science (2013, Vol. 5 (4)). Her work on quantum cognition has been funded by NSF and AFOSR. Jerome Busemeyer is Provost Professor of Psychological and Brain Sciences at Indiana University. He is Editor of Decision and Associate Editor of Psychological Review, and was Editor of Journal of Mathematical Psychology. His research interests include decision-making and dynamic modeling. Jennifer Trueblood is an assistant professor at the University of California, Irvine. She has published articles on the topic of quantum cognition in Psychological Review and Cognitive Science. Her work on quantum cognition has been funded by NSF. General Purpose This full day tutorial is an exposition of a rapidly growing new alternative approach to building computational models of cognition and decision based on quantum theory. The cognitive revolution that occurred in the 1960’s was based on classical computational logic, and the connectionist/neural network movements of the 1970’s were based on classical dynamical systems. These classical assumptions remain at the heart of both cognitive architecture and neural network theories, and they are so commonly and widely applied that we take them for granted and presume them to be true. What are these critical but hidden assumptions upon which all traditional theories rely? Quantum theory provides a fundamentally different approach to logic, reasoning, probabilistic inference, and dynamical systems. For example, quantum logic does not follow the distributive axiom of Boolean logic; quantum probabilities do not obey the disjunctive axiom of Kolmogorov probability; quantum reasoning does not obey the principle of monotonic reasoning. It turns out that humans do not obey these restrictions either, which is why we consider a quantum approach. This tutorial will provide an exposition of the basic assumptions of classical versus quantum theories. These basic assumptions will be examined, side-by-side, in a parallel and elementary manner. The logic and mathematical foundation of classical and quantum theory will be laid out in an accessible manner that uncovers the mysteries of both theories. We will show that quantum theory provides a unified and powerful explanation for a wide variety of paradoxes found in human cognition and decision ranging from attitude, inference, causal reasoning, judgment and decision, conceptual combinations, memory recognition, and associative memory. This tutorial introduces and trains cognitive scientists on this promising new theoretical and modeling approach. Previous Tutorials and Symposia The tutorial has been presented at the Cognitive Science meetings in Nashville (2007), Washington DC (2008), Amsterdam (2009), Sopporo (2012), and Berlin (2013), with about 30 to 50 participants each time. The ratings from participants after the tutorial were all very positive. Also, this tutorial follows a symposium on quantum cognition presented at the Cognitive Science meeting 2011, and these papers appeared as a special issue in Topics in Cognitive Science. A similar tutorial was presented at the 3rd and 4th Annual Meetings on Quantum Interaction in Saarbruecken, Germany (2009) and Aberdeen, Scotland (2010) with about 40 participants, the Society for Mathematical Psychology (2012), and BRiMS (2013). Participants Background This tutorial will introduce participants to an entirely new area and no previous experience or background with quantum theory will be assumed. No background in physics is required. In fact, except for a few simple examples to motivate the idea, little or no reference to physics will be made during main part of the tutorial. What is required is an elementary background in classical logic
Cognitive Science•Jan 1, 2012•2 citations