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“How can one use quantum probability and dynamics to build models of human cognition and decision making?” URL: http://mypage.iu.edu/~jbusemey/home.html Professor Jerome Busemeyer received a PhD in Psychology in 1979 from the University of South Carolina, and subsequently he received a NIMH Post Doctoral Fellowship in the Quantitative Training Program at the University of Illinois. He was a faculty member of the Psychology Department at Purdue University for 14 years, but then he moved to Indiana University, where he has been a Full Professor in Psychology for the past 7 years. Dr. Busemeyer has served on national grant review panels including NIMH Perception and Cognition and NSF Methodology, Measurement, and Statistics, and he has been steadily funded by NSF, NIMH, and NIDA for the past 25 years. He has published over 60 articles in various Psychological and Mathematical Social Science journals, and he has served on the editorial boards for several prestigious journals including Psychological Review and currently he is the chief editor of Journal of Mathematical Psychology. During the last two years (2005-2007), Dr. Busemeyer served as the manager of the Cognition and Decision Program at the Air Force Office of Scientific Research. His main areas of research include mathematical models of decision making and learning, and perhaps his most important work so far is a dynamic model of human decision making called decision field theory. Dr. Busemeyer is a professor in Cognitive Science at Indiana University. He has served on several national grant review panels, he has been federally funded for the past 25 years, and he has published over 60 articles in various Psychological and Mathematical Social Science journals. Currently, Dr. Busemeyer is the chief editor of Journal of Mathematical Psychology, and during the last two years he served as the manager of the Cognition and Decision Program at the Air Force Office of Scientific Research. His main areas of research include mathematical models of decision making and learning, and perhaps his most important work so far is a dynamic model of human decision making called decision field theory. |
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