Operations and Information Management Department

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Steven O. Kimbrough
Professor

Publications

Steven O. Kimbrough, Frederic H. Murphy (2009), Learning to Collude Tacitly on Production Levels by Oligopolistic Agents, Computational Economics, Http://dx.doi.org/10.1007/s10614-008-9150-6

Robert L. Axtell, Steven O. Kimbrough (2008), The High Cost of Stability in Two-Sided Matching: How Much Social Welfare Should Be Sacrificed in the Pursuit of Stability?, Proceedings of the 2008 World Congress on Social Simulation (WCSS-08), Http://mann.clermont.cemagref.fr/wcss/

Steven O. Kimbrough, Gary J. Koehler, Ming Lu, David Harlan wood (2008), On a Feasible-Infeasible Two-Populatin (FI-2Pop) genetic algorithm for constrained optimization: Distance tracing and no free lunch, European Journal of Operational Research, Vol. 190, no. 2, pp. 310--327, http://dx.doi.org/10.1016/j.ejor.2007.06.028

Andrew J.I. Jones, Steven O. Kimbrough (2008), The normative aspect of signalling and the distinction between performative and constative, Journal of Applied Logic, Vol. 6, pp. 218--228

Steven O. Kimbrough, Ming Lu (2005), Simple reinforcement learning agents: Pareto beats Nash in an algorithmic game theory study, Information Systems and e-Business Management, Http://dx.doi.org/10.1007/s10257-003-0024-0, vol. 3, no. 1, pp. 1--19

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Current Research

Steven O. Kimbrough, Frederic H. Murphy 2008, Strategic Bidding of Supply Curves: An Agent-Based Approach to Exploring Supply Curve Equilibria

Steven O. Kimbrough, David Harlan Wood 2006, On How Solution Populations Can Guide Revision of Model Parameters

Steven O. Kimbrough, Robert L. Axtell 2006, On Concepts of Rationality in Games

Steven O. Kimbrough
3730 Walnut Street
565 Jon M. Huntsman Hall
Philadelphia, PA19104
Phone: (215) 898-5133
kimbrough@wharton.upenn.edu

Research Interests: Decision support systems; text mining; artificial intelligence and computational rationality; logic modeling and agent communication languages; evolutionary computation (including genetic algorithms) and metaheuristics for constrained optimization

Last Modified November 11, 2009