DIMACS Workshop on the Interface between Biology and Game Theory

April 5, 2004
DIMACS Center, CoRE Building, Rutgers University

Adam Arkin, Lawrence Berkeley Labs and UC Berkeley
Vijay Vazirani, Georgia Tech, vazirani@cc.gatech.edu
Denise Wolf, Lawrence Berkeley Labs, dmwolf@lbl.gov
Presented under the auspices of the Special Focus on Computational Molecular Biology.

Starting with the pioneering work of John Maynard Smith, game theory has been increasingly used to explain, understand, and predict biological phenomena. In a sense, game theory is even more readily applicable to biology than to economics, for which it was initially intended, because the concept of human rationality, a rather uncomfortable assumption, can be replaced by more robust notions such as evolutionary stability.

In recent years, game theory has been used to explain RNA phage dynamics, viral latency, chromosome segragation subversion in sexual species, E. coli mutant proliferation under environmental stress, and aspects of competitive bacterial ecology. At this workshop, the first of its kind, we hope to not only see some of the best work being done on this exciting interface, but also think of future directions for exploring it.

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Document last modified on October 7, 2003.