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Doyne Farmer : ウィキペディア英語版
J. Doyne Farmer

J. Doyne Farmer (born 1952) is an American physicist and entrepreneur, with interests in chaos theory, complexity and econophysics. He is a former professor at the Santa Fe Institute and member of Eudaemonic Enterprises. He is currently a Professor of Mathematics at Oxford University, where he co-directs the Oxford Martin Programme on Complexity, and is External Professor at the Santa Fe Institute.
==Biography==
Although born in Houston, Texas, he spent most of his early life in Silver City, New Mexico, where he first developed an interest in physics. He spent his first year of college at the University of Idaho and his second year at Stanford University, California. Doyne went to graduate school at the University of California, Santa Cruz, where he studied chaos theory and the physics of roulette. He received his PhD in Physics there in 1981.
Doyne Farmer then took up a post-doctoral appointmment at the centre for non-linear studies at the Los Alamos National Laboratory and in 1988 became leader of the Complex Systems Group, Theoretical Division.
In 1991 Farmer gave up his position at Los Alamos to start Prediction Company, with Norman Packard and Jim McGill. The purpose of this company was to create automated trading systems for a variety of commodity and securities markets, making predictions of trends using principles of physics, particularly Chaos Theory (e.g., exploiting Takens's state space reconstruction〔Farmer J.D. & Sidorowich J.J. 1987. Phys. Rev. Lett. 59, 845()〕) and what is called today statistical learning theory.
Following his work at the Prediction Company, Farmer returned to the Santa Fe Institute, where he headed its econophysics research group and was instrumental in developing the field. In 2012, Farmer left the Santa Fe Institute for Oxford University, where he now co-directs the Oxford Martin Programme on Complexity.

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