Climbing Mount Probable
type: CreativeWork
description: 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.
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.
author: Harper, Marc Allen
keywords: Theoretical Mathematics
date published: 2009
date modified: 2026-07-22T22:26:07Z
provider: University of Illinois - Urbana-Champaign
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Illinois at Urbana-Champaign

PropertyValue
property ID: Handle
value: http://hdl.handle.net/2142/72528