Title: Self-organisation of evolving agent populations in Digital Ecosystems

Authors: Gerard Briscoe; Philippe De Wilde

Addresses: Systems Research Group, Computer Laboratory, University of Cambridge, Cambridge, CB3 0FD, UK. ' Intelligent Systems Lab, Department of Computer Science, Heriot-Watt University, Edinburgh, EH14 4AS, UK

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: agent populations; self-organisation; complexity; stability; diversity; evolving populations; digital ecosystems; biological ecosystems; biology; organisms; genomes; computer sciences; equilibrium distribution; selection pressures; user requests; internet; world wide web; enterprise management.

DOI: 10.1504/IJIEM.2011.044205

International Journal of Internet and Enterprise Management, 2011 Vol.7 No.3, pp.239 - 286

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 12 Dec 2011 *

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