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Research Interests for Richard G. Palmer

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.

Animals, Attention, Behavior Therapy, Choice Behavior, Cognition, Decision Making, Humans, Models, Psychological, Orientation, Problem Solving, Reinforcement Schedule, Reversal Learning
Recent Publications   (search)
  1. 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, CRC Press [doi[abs].
  2. Anderson, PW; Thouless, DJ; Palmer, RG, Solution of ‘solvable model of a spin glass’, in Career In Theoretical Physics, A (2nd Edition) (January, 2005), pp. 522-530 [doi[abs].
  3. M.E.J. Newman and R.G. Palmer, Modeling Extinction (Spring, 2003), Oxford University Press.
  4. Dragoi, V; Staddon, JER; Palmer, RG; Buhusi, CV, Interval timing as an emergent learning property., Psychological Review, vol. 110 no. 1 (January, 2003), pp. 126-144 [doi[abs].
  5. 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 (January, 1999), pp. 1487-1516, Elsevier BV [doi[abs].

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