On a quantitative measure for modularity based on information theory

Authors:
Daniel Polani;Peter Dauscher;Thomas Uthmann
Affiliations:
University of Hertfordshire, Hatfield, UK;Johannes Gutenberg Universität Mainz, Germany;Johannes Gutenberg Universität Mainz, Germany
Venue:
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Year:
2005

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Abstract

The concept of modularity appears to be crucial for many questions in the field of Artificial Life research. However, there have not been many quantitative measures for modularity that are both general and viable. In this paper we introduce a measure for modularity based on information theory. Due to the generality of the information theory formalism, this measure can be applied to various problems and models; some connections to other formalisms are presented.