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A Simple Modularity Measure for Search Spaces based on Information Theory

Dauscher, Peter, Polani, Daniel and Watson, Richard A., Rocha, M., Bedau, M., Floreano, D., Goldstone, R., Vespignani, A. and Yaeger, L.(eds.) (2006) A Simple Modularity Measure for Search Spaces based on Information Theory Proceedings of Artificial Life X (ALife X)

Record type: Article


Within the context of Artificial Life the question about the role of modularity has turned out to be crucial, especially with regard to the problem of evolvability. In order to be able to observe the development of modular structure, appropriate modularity measures are important. We introduce a continuous measure based on information theory which can characterize the coupling among subsystems in a search problem. In order to illustrate the concepts developed, they are applied to a very simple and intuitive set of combinatorial problems similar to scenarios used in the seminal work by Simon (1969). It is shown that this measure is closely related to the classification of search problems in terms of Separability, Non-Decomposability and Modular Interdependency as introduced in (Watson and Pollack, 2005).

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Published date: 2006
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 262015
PURE UUID: 597c00d2-c2e6-469d-a197-b3b17780fbfd

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Date deposited: 21 Feb 2006
Last modified: 18 Jul 2017 08:56

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Author: Peter Dauscher
Author: Daniel Polani
Editor: M. Rocha
Editor: M. Bedau
Editor: D. Floreano
Editor: R. Goldstone
Editor: A. Vespignani
Editor: L. Yaeger

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