# Richard G. Palmer

## Professor Emeritus of Physics

### Overview

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.

### Selected Grants

(96-0672) Models for Learning, Memory and Interference awarded by National Institutes of Health (Co-Principal Investigator). 1990 to 2002

(91-0856) Models for Learning, Memory, & Inference awarded by (Co-Principal Investigator). 1990 to 1995

(94-1023) Models for Learning, Memory and Inference awarded by National Institutes of Health (Co-Principal Investigator). 1990 to 1995

(91-0711) 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.
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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.
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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.
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LeBaron, B., et al. “Time series properties of an artificial stock market.” *Journal of Economic Dynamics and Control*, vol. 23, no. 9–10, Sept. 1999, pp. 1487–516.

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.

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.
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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.
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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.
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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.
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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.
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Ajay, I., 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.
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