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. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Polani, D., Dauscher, P., & Uthmann, T. (2005). On a quantitative measure for modularity based on information theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3630 LNAI, pp. 393–402). https://doi.org/10.1007/11553090_40
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