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Richard G. Palmer
Researcher at Duke University
Publications - 55
Citations - 17106
Richard G. Palmer is an academic researcher from Duke University. The author has contributed to research in topics: Spin glass & Stock market. The author has an hindex of 25, co-authored 54 publications receiving 16773 citations. Previous affiliations of Richard G. Palmer include Santa Fe Institute & University of California, Santa Barbara.
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Book
Introduction To The Theory Of Neural Computation
TL;DR: This book is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning.
Journal ArticleDOI
Introduction to the Theory of Neural Computation
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Models of hierarchically constrained dynamics for glassy relaxation
TL;DR: In this paper, a class of models for relaxation in strongly interacting glassy materials is suggested, where degrees of freedom are divided into a sequence of levels such that those in level $n+1$ are locked except when some of those inlevel $n$ find the right combination to release them, representing the hierarchy of constraints in real systems.
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Solution of 'Solvable model of a spin glass'
TL;DR: In this paper, the Sherrmgton-Kirkpatrick model of a spin glass is solved by a mean field technique which is probably exact in the limit of infinite range interactions.
Book ChapterDOI
Asset Pricing Under Endogenous Expectations in an Artificial Stock Market
TL;DR: In this paper, the authors propose a theory of asset pricing based on heterogeneous agents who continually adapt their expectations to the market that these expectations aggregatively create, and explore the implications of this theory computationally using Santa Fe artificial stock market.