**Office Location:** 091 Physics Bldg, Durham, NC 27708**Office Phone:** (919) 660-2559**Email Address:** palmer@phy.duke.edu**Web Page:** http://www.phy.duke.edu/~palmer/

**Specialties:**

Nonlinear dynamics and complex systems

Theoretical condensed matter physics

**Education:**

Theoretical Physics, Cambridge Univ, 1973

Ph.D., University of Cambridge (UK), 1973

**Research Categories:** *Theoretical Condensed Matter Physics*

**Research Description:** 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.

**Recent Publications**
(More Publications)

- Palmer, R,
*Statistical mechanics approaches to complex optimization problems*, in 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 (January, 2018), pp. 177-194 [doi] [abs]. - M.E.J. Newman and R.G. Palmer,
*Modeling Extinction*(Spring, 2003), Oxford University Press . - Dragoi, V; Staddon, JER; Palmer, RG; Buhusi, CV,
*Interval Timing as an Emergent Learning Property*, Psychological Review, vol. 110 no. 1 (2003), pp. 126-144 [doi] [abs]. - Palmer, RG; Arthur, WB; Holland, JH; LeBaron, B,
*An Artificial Stock Market*, Artificial Life and Robotics, vol. 3 (1999) . - LeBaron, B; Arthur, WB; Palmer, R,
*Time series properties of an artificial stock market*, Journal of Economic Dynamics and Control, vol. 23 no. 9-10 (1999), pp. 1487-1516 [abs].

**Highlight:**

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.