**Contact Info:**

Office Location: | 091 Physics Bldg, Durham, NC 27708 |

Office Phone: | (919) 660-2559 |

Email Address: | |

Web Page: | http://www.phy.duke.edu/~palmer/ |

**Education:**Ph.D. University of Cambridge (UK) 1973 Theoretical Physics Cambridge Univ 1973

**Specialties:**-
Nonlinear dynamics and complex systems

Theoretical condensed matter physics

**Research Interests:***Theoretical Condensed Matter Physics*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.

**Curriculum Vitae**

**Recent Publications**(More Publications) (search)- Palmer, R (2018). 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*, 177-194. [doi] [abs] - M.E.J. Newman and R.G. Palmer (2003).
*Modeling Extinction.*. Oxford University Press. - Dragoi, V; Staddon, JER; Palmer, RG; Buhusi, CV (2003). Interval timing as an emergent learning property.
*. Psychological Review*, 110(1), 126-144. [doi] [abs] - LeBaron, B; Arthur, WB; Palmer, R (1999). Time series properties of an artificial stock market
*. Journal of Economic Dynamics and Control*, 23(9-10), 1487-1516. [doi] [abs] - Palmer, RG; Adler, J (1999). Ground states for large samples of two-dimensional Ising spin glasses
*. International Journal of Modern Physics C*, 10(4), 667-675. [doi] [abs]

- Palmer, R (2018). Statistical mechanics approaches to complex optimization problems