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.
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Polani, D., Dauscher, P., Uthmann, T. (2005). On a Quantitative Measure for Modularity Based on Information Theory. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_40
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DOI: https://doi.org/10.1007/11553090_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28848-0
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