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Title:Climbing Mount Probable
Author(s):Harper, Marc Allen
Doctoral Committee Chair(s):Leininger, Christopher J.
Department / Program:Mathematics
Discipline:Mathematics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Theoretical Mathematics
Abstract:This work attempts to explain the relationships between natural selection, information theory, and statistical inference. In particular, a geometric formulation of information theory known as information geometry and its deep connections to evolutionary game theory inform the role of natural selection in evolutionary processes. The goals of this work may be stated as (1) to show that a significant collection of important results in evolutionary dynamics can be interpreted elegantly in the context of information theory, and (2) to generalize the framework to study dynamics other than the replicator equation.
Issue Date:2009
Type:Text
Description:62 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.
URI:http://hdl.handle.net/2142/72528
Other Identifier(s):(UMI)AAI3392061
Date Available in IDEALS:2014-12-17
Date Deposited:2009


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