6533b82ffe1ef96bd1294f3e

RESEARCH PRODUCT

On a Quantitative Measure for Modularity Based on Information Theory

Daniel PolaniPeter DauscherThomas Uthmann

subject

Modular decompositionQuantitative measureGeneralitybusiness.industryComputer scienceArtificial lifeArtificial intelligenceMutual informationbusinessInformation theoryMeasure (mathematics)Modularity

description

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.

yearjournalcountryeditionlanguage
2005-01-01
https://doi.org/10.1007/11553090_40