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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