# Department of

Psychological

and Brain Sciences

## Dr. Jerome BusemeyerProvost Professor
jbusemey [at] indiana.edu | personal website office: PY 328 | (812)855-4882 lab: Decision Research Laboratory
Dynamic, emotional, and cognitive models of judgment and decision making; neural network models of function learning, interpolation, extrapolation; methodology for comparing and testing complex models of behavior; measurement theory with error contaminated data |

## Educational Background

**1980**- Post Doctoral Fellow, Quantitative Methods, University of Illinois**1979**- Ph.D. University of South Carolina**1976**- M.A. University of South Carolina**1973**- B.A. University of Cincinnati, cum laude

## Areas of Study

- Cognitive Science
- Dynamic Models
- Quantitative Methods

## Research Topics

- Dynamic, emotional, and cognitive models of judgment and decision making
- Neural network models of function learning, interpolation, extrapolation
- Methodology for comparing and testing complex models of behavior
- Measurement theory with error contaminated data.

## Representative Publications

Johnson, J. G. & **Busemeyer, J. R.** (2005) A dynamic, computational model of preference reversal phenomena. *Psychological Review*, 112(4), 841-861.

Yechiam, E. & **Busemeyer, J. R.** (2005) Comparisons of basic assumptions embedded in learning models for experienced based decision making. *Psychonomic Bulletin and Review*, 12 (3), 387-402.

McDaniel, M. A. & **Busemeyer, J. R.** (2005) The conceptual basis of function learning and extrapolation: Comparison of rule and associative based models. *Psychonomic Bulletin and Review*, 12 (1), 24-42.

**Busemeyer, J. R.**, Wang, Z., & Townsend, J. T. (2006) Quantum dynamics of human decision making. *Journal of Mathematical Psychology*, 50, 220-241.

Rieskamp, J., **Busemeyer, J. R.**, & Mellers, B. A. (2006) Extending the bounds of rationality: A review of research on preferential choice. *Journal of Economic Literature*, 44, 631-636.

Diederich, A. & **Busemeyer, J. R**. (2006) Modeling the effects of payoffs on response bias in a perceptual discrimination task: Threshold bound, drift rate change, or two stage processing hypothesis. *Perception and Psychophysics*, 97 (1), 51-72.

Yechiam, E., **Busemeyer, J. R.**, Stout, J. C., & Bechara, A. (2005) Using cognitive models to map relations between neuropsychological disorders and human decision making deficits. *Psychological Science*, 16 (12), 841-861.

**Busemeyer, J. R**. & Johnson, J. G. (2006) Micro-process models of decision-making. In R. Sun (Ed.) *Cambridge Handbook of Computational Cognitive Modeling*. Cambridge University Press.

**Busemeyer, J.R.**, Jessup, R. K., Johnson, J.G., & Townsend, J. T. (2006) Building bridges between neural models and complex human decision making behavior. *Neural Networks*, 19, 1047-1058.

**Busemeyer, J. R.**, Barkan, R., Mehta, S.; & Chatervedi, A. (2007) Context models and models of preferential choice: Implications for Consumer Behavior. *Marketing Theory*, 7 (1), 39-58.

Yechiam, E. & **Busemeyer, J. R.** (2008) Evaluating generalizability and parameter consistency in learning models. *Games and Economic Behavior*, 63, 370-394.

**Busemeyer, J. R.** & Pleskac, T. (2009) Theoretical tools for understanding and aiding dynamic decision making. *Journal of Mathematical Psychology*, 53, 126-138.

Johnson, J.G. & **Busemeyer, J. R.** (2007) A computational model of the attention processes used to generate decision weights in risky decision making. Under revision for *Cognition*.

Jessup, R. K., Bishara, A. J., & **Busemeyer, J. R.** (2008) Feedback produces divergence from prospect theory in predictive choice. *Psychological Science*, 19 (10), 1015-1022.

Ahn, W. Y., **Busemeyer, J. R.**, Wagenmakers, E. J., Stout, J. C. (2009) Comparison of decision learning models using the generalization criterion method. *Cognitive Science*, 32, 1376-1402.

Pothos, E. M. & **Busemeyer, J. R.** (2009) A Quantum Probability Explanation for Violations of "Rational" Decision Theory. *Proceedings of the Royal Society B*, 276 (1165), 2171-2178.

**Busemeyer, J. R.** & Diederich, A. *Cognitive Modeling*. Sage.

Pleskac, T. J. & **Busemeyer, J. R.** (submitted). Two Stage Dynamic Signal Detection Theory: A Dynamic and Stochastic Theory of Confidence, Choice, and Response Time.

## Links

- Cognitive Science Homepage
- Dr. Busemeyer's Cognitive Science Page
- Dr. Busemeyer's Homepage
- Dr. Busemeyer's Lab Homepage