Self-Organisation of Evolving Agent Populations in Digital Ecosystems
Neural and Evolutionary Computing
2012-01-25 v1
Abstract
We investigate the self-organising behaviour of Digital Ecosystems, because a primary motivation for our research is to exploit the self-organising properties of biological ecosystems. We extended a definition for the complexity, grounded in the biological sciences, providing a measure of the information in an organism's genome. Next, we extended a definition for the stability, originating from the computer sciences, based upon convergence to an equilibrium distribution. Finally, we investigated a definition for the diversity, relative to the selection pressures provided by the user requests. We conclude with a summary and discussion of the achievements, including the experimental results.
Keywords
Cite
@article{arxiv.1201.4908,
title = {Self-Organisation of Evolving Agent Populations in Digital Ecosystems},
author = {Gerard Briscoe and Philippe De Wilde},
journal= {arXiv preprint arXiv:1201.4908},
year = {2012}
}
Comments
50 pages, 25 figures, journal