Professor of Psychological & Brain Sciences
(812) 855-4882
jbusemey@indiana.edu

See also: mypage.iu.edu/~jbusemey/home.html

Education
Ph.D., University of South Carolina, 1979
Professional Experience
  • Past President of the Society of Mathematical Psychology
  • Member of NSF Methodology, Measurement, and Statistics Grant Review Panel
  • Hanse Institute Fellowship, Germany, 1999
  • Editorial Boards for Journal of Mathematical Psychology, Journal ofExperimental Psychology: Learning, Memory and Cognition, Psychological Review.
Research Interests
  • Dynamic, emotional, and cognitive models of judgment and decision making
  • neural network models of function learning, interpolation,extra polation
  • methodology for comparing and testing complex models of behavior
  • measurement theory with error contaminated data
Representative Publications(from a total of more than 50)

Busemeyer, J. R., & Jones, L. E. (1983). The analysis of multiplicative combination rules when the causal variables are measured with error.
Psychological Bulletin, 88, 237-244.

Busemeyer, J. R. (1985). Decision making under uncertainty: Simple scalability, fixed sample, and sequential sampling models.
Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 538-564.

Busemeyer, J. R., & Myung, I. J. (1992). An adaptive approach to human decision making: Learning theory, decision theory, and human performance.
Journal of Experimental Psychology:General, 121, 177-194.

Busemeyer, J. R., & Townsend, J. T. (1993). Decision Field Theory: A dynamic cognitive approach to decision making.
Psychological Review, 100, 432-459.

Busemeyer, J. R., Hastie, R., & Medin, D. L. (1995). Decision Making from a Cognitive Perspective.
Psychology of Learning and Motivation, (Vol. 32). Academic Press.

Busemeyer, J. R., McDaniel, M. A., & Byun, E. (1997) The abstraction of intervening concepts from experience with multiple input - multiple output causal environments.
Cognitive Psychology, 32, 1-48.

Busemeyer, J. R., Byun, E., Delosh, E., & McDaniel, M. A. (1997) Function Learning based on experience with input - output pairs by humans and artificial neural networks.
In K. Lamberts and D. Shanks (Eds.) Concepts and Categories. Hove, East Sussex, UK: Psychology Press.

Busemeyer, J. R., & Wang, Y. (2000) Model Comparisons and model selections based on the generalization criterion methodology.
Journal of Mathematical Psychology, 44, 171-189.

Busemeyer, J. R., Weg, E. Barkan, R., Li, X., & Ma, Z. (2000) Dynamic and consequential consistency of choices between paths of decision trees.
Journal of Experimental Psychology: General, 129, 530-545.
http://www.cogs.indiana.edu/Publications/techreps1998/226.html

Roe, R. M., Busemeyer, J. R., & Townsend, J. T. (2001) Multi-alternative decision field theory: A dynamic connectionist model of decision making.
Psychological Review, 108, 370-392.
http://www.cogs.indiana.edu/Publications/techreps1999/232.html

Busmeyer, J. R. & Stout, J. C. (2002) A Contribution of Cognitive Decision Models to Clinical Assessment: Decomposing Performance on the Bechara Gambling Task. Psychological Assessment, 14, 253-262 www.cogs.indiana.edu/Publications/techreps2001/243/index.html

Busemeyer, J. R. & Diederich, A. (2002) Survey of decision field theory. Mathematical Social Sciences, 43, 345-370. www.cogs.indiana.edu/Publications/techreps2000/242/index.html


Indiana University

Cognitive Science Program, 819 Eigenmann, 1910 E. 10th St.,
Indiana University, Bloomington, IN 47406-7512 USA
Phone: (812) 855-0031         Fax: (812) 855-1086
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