Michael J. Prietula

Personal Homepage
http:// http://www.bus.emory.edu/prietula
Emory University (http://www.emory.edu)

Michael is a Professor of Decision and Information Science in the Goizueta Business School and adjunct Professor of Psychology at Emory University. He holds a courtesy appointment of Research Scholar/Scientist at the Institute for Human and Machine Cognition in Pensacola (FL). He holds Ph.D. in Information Systems, with minors in Computer Science and Psychology from the University of Minnesota. Michael worked as a research scientist at Honeywell's Systems Research and Development Center, and has held! positions at Dartmouth College, Carnegie Mellon University and was department chair at The Johns Hopkins University where also held an adjunct appointment in the School of Medicine.

Michael has published in such journals as Organizational Science, Human Factors, Cognitive Science, Management Science, Information Systems Research, MIS Quarterly, Journal of Personality and Social Psychology, Journal of Experimental Social Psychology, the ORSA Journal on Computing, and the Harvard Business Review. He has currently co-edited two books: Computational Organization Theory (Erlbaum, 1994) and Simulating Organizations: Computational Models of Institutions and Groups (MIT Press, 1998).

Michael's primary research areas are computational models of individual and group behaviors (such as social algorithms), the analysis and representation of expert knowledge, and integrative knowledge architectures. He has received numerous research grants and has worked on such systems as MacMerle (artificial intelligence scheduling), Rheumer (medical expert advisor), Steambal (an engineering tutorial and simulation), Plural-Soar (distributed artificial intelligence), and TrustMe (social science simulation). His current projects include CM (market simulation based on A Behavioral Theory of the Firm), TrustUs (evolutionary social science simulation), the ACT Emotion Engine and Affect (simulated emotional agents), Tides (a social simulation of group emergence), xChng (a simulation of knowledge exchange), Xplore (an expansion of James March's Exploration-Exploitation model), and Norm (a norm and group evolution model). He is currently holds a grant from the Carnegie Bosch Institute at Carnegie Mellon to research the intellectual origins (at GSIA) of the computer model in Cyert and March's A Behavioral Theory of the Firm. Michael has also served as a musician, a stage manager and member of the Board of Directors for a theatre company, and is a certified PADI scuba diving instructor.

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Hyder, Elaine B., Prietula, Michael J., Weingart, Laurie R. (2000): Getting to best: efficiency versus optimality in negotiation. In Cognitive Science, 24 (2) pp. 169-204.

Prietula, Michael J., Carley, Kathleen M. (1994): Computational Organization Theory: Autonomous Agents and Emergent Behavior. In Journal of Organizational Computing, 4 (1) pp. 41-83.

Hassebrock, Frank, Prietula, Michael J. (1992): A Protocol-Based Coding Scheme for the Analysis of Medical Reasoning. In International Journal of Man-Machine Studies, 37 (5) pp. 613-652.

Huguenard, Brian R., Prietula, Michael J., Lerch, F. Javier (1990): Fragility in Expertise: A Study in Reactive Scheduling. In ACM SIGCHI Bulletin, 21 (3) pp. 36-40.

Lerch, F. Javier, Prietula, Michael J. (1989): How Do We Trust Machine Advice?. In: Proceedings of the Third International Conference on Human-Computer Interaction , 1989, . pp. 410-419.