Richard G. Palmer

Richard G. Palmer

Professor Emeritus of Physics

Office Location: 
091 Physics Bldg, Durham, NC 27708
Front Office Address: 
Box 90305, Durham, NC 27708-0305
(919) 660-2559


Professor Richard G. Palmer is currently working on theories of statistical mechanics. He is interested in the application and development of statistical physics methods for many types of complex systems, including glasses and spin glasses, neural networks, genetic algorithms, and economic markets. The long-term goal of his work is to establish firm theoretical foundations for understanding the emergence of structure, complexity, and computational ability in driven systems of interacting adaptive components. He is also author of two books on the theory of neural networks and on the theory of extinction.

Education & Training

  • Ph.D., University of Cambridge (United Kingdom) 1973

Selected Grants

Models for Learning, Memory and Interference awarded by National Institutes of Health (Co-Principal Investigator). 1990 to 2002

Models for Learning, Memory, & Inference awarded by National Institute of Mental Health (NIMH) (Co-Principal Investigator). 1990 to 1995

Models for Learning, Memory and Inference awarded by National Institutes of Health (Co-Principal Investigator). 1990 to 1995

Neural Network Models of Temporal Learning awarded by National Institutes of Health (Principal Investigator). 1992 to 1993

Hertz, J., et al. Introduction to the theory of neural computation. 2018, pp. 1–327. Scopus, doi:10.1201/9780429499661. Full Text

Palmer, R. “Statistical mechanics approaches to complex optimization problems.” The Economy as an Evolving Complex System: The Proceedings of the Evolutionary Paths of the Global Economy Workshop, Held September, 1987 in Santa Fe, New Mexico, 2018, pp. 177–94. Scopus, doi:10.1201/9780429492846. Full Text

Dragoi, Valentin, et al. “Interval timing as an emergent learning property.Psychological Review, vol. 110, no. 1, Jan. 2003, pp. 126–44. Epmc, doi:10.1037/0033-295x.110.1.126. Full Text

LeBaron, B., et al. “Time series properties of an artificial stock market.” Journal of Economic Dynamics and Control, vol. 23, no. 9–10, Jan. 1999, pp. 1487–516. Scopus, doi:10.1016/s0165-1889(98)00081-5. Full Text

Palmer, R. G., and J. Adler. “Ground states for large samples of two-dimensional Ising spin glasses.” International Journal of Modern Physics C, vol. 10, no. 4, Jan. 1999, pp. 667–75. Scopus, doi:10.1142/S0129183199000504. Full Text

Newman, MEJ, and Palmer, RG. "Error estimation in the histogram Monte Carlo method." Journal of Statistical Physics 97.5-6 (1999): 1011-1026.

Palmer, R. G., et al. “An Artificial Stock Market.” Artificial Life and Robotics, vol. 3, 1999.

Staddon, J. E., et al. “Cumulative effects model: a response to Williams (1994).” Psychological Review, vol. 101, no. 4, Oct. 1994, pp. 708–10. Epmc, doi:10.1037/0033-295x.101.4.708. Full Text

Palmer, R. G., et al. “Artificial economic life: a simple model of a stockmarket.” Physica D: Nonlinear Phenomena, vol. 75, no. 1–3, Aug. 1994, pp. 264–74. Scopus, doi:10.1016/0167-2789(94)90287-9. Full Text

Rust, J., et al. “Characterizing effective trading strategies. Insights from a computerized double auction tournament.” Journal of Economic Dynamics and Control, vol. 18, no. 1, Jan. 1994, pp. 61–96. Scopus, doi:10.1016/0165-1889(94)90069-8. Full Text

Davis, D. G., et al. “The process of recurrent choice.Psychological Review, vol. 100, no. 2, Apr. 1993, pp. 320–41. Epmc, doi:10.1037/0033-295x.100.2.320. Full Text

Ajay, R. L., and R. G. Palmer. “Simulation of a toy model with constrained dynamics.” Journal of Physics A: General Physics, vol. 23, no. 11, Dec. 1990, pp. 2139–45. Scopus, doi:10.1088/0305-4470/23/11/034. Full Text