Natural Algorithms
Bernard Chazelle
2011 Invited Talk
Abstract
I will discuss the merits of an algorithmic approach to the analysis of complex self-organizing systems. I will argue that computer science, and algorithms in particular, offer a fruitful perspective on the complex dynamics of multiagent systems: for example, opinion dynamics, bird flocking, and firefly synchronization. I will give many examples and try to touch on some of the theory behind them, with an emphasis on their algorithmic nature and the particular challenges to machine learning that an algorithmic approach to dynamical systems raises.
Speaker
Bernard Chazelle
Bernard Chazelle is Eugene Higgins professor of computer science
at Princeton University, where he has been on the faculty
since 1986. He has held research and faculty positions
at Carnegie-Mellon University, Brown University,
Ecole Polytechnique, Ecole normale superieure, the University
of Paris, and INRIA. He did extensive consulting for
Xerox PARC, DEC SRC, and NEC Research, where
he was President of the Board of Fellows for several years.
He received his Ph.D in computer science from Yale
University in 1980. He is the author of the book "The Discrepancy Method."
He is a fellow of the American Academy of Arts and Sciences,
the European Academy of Sciences, and the World Innovation Foundation.
He is an ACM Fellow and a former Guggenheim fellow.
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