The University of Southampton
University of Southampton Institutional Repository

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

Abstract

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).

PDF dauscher_asmm_alife_2006.pdf - Other
Download (81kB)

More information

Published date: 2006
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 262015
URI: http://eprints.soton.ac.uk/id/eprint/262015
PURE UUID: 597c00d2-c2e6-469d-a197-b3b17780fbfd

Catalogue record

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

Export record

Contributors

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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×