Skip to main content

Digital ecosystems: Stability of evolving agent populations

De Wilde, Philippe, Briscoe, Gerard (2009) Digital ecosystems: Stability of evolving agent populations. In: MEDES '09: Proceedings of the International Conference on Management of Emergent Digital EcoSystems. . pp. 36-43. ACM ISBN 978-1-60558-829-2. (doi:10.1145/1643823.1643831) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58024)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:


Stability is perhaps one of the most desirable features of any engineered system, given the importance of being able to predict its response to various environmental conditions prior to actual deployment. Engineered systems are becoming ever more complex, approaching the same levels of biological ecosystems, and so their stability becomes ever more important, but taking on more and more differential dynamics can make stability an ever more elusive property. The Chli-DeWilde definition of stability views a Multi-Agent System as a discrete time Markov chain with potentially unknown transition probabilities. With a Multi-Agent System being considered stable when its state, a stochastic process, has converged to an equilibrium distribution, because stability of a system can be understood intuitively as exhibiting bounded behaviour. We investigate an extension to include Multi-Agent Systems (MASs) with evolutionary dynamics, focusing on the evolving agent populations of our Digital Ecosystem. We then built upon this to construct an entropy-based definition for the degree of instability (entropy of the limit probabilities), which was later used to perform a stability analysis. The Digital Ecosystem is considered to investigate the stability of an evolving agent population through simulations, for which the results were consistent with the original Chli-DeWilde definition.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1145/1643823.1643831
Uncontrolled keywords: A-stability; Biological ecosystem; Digital ecosystem; Discrete time Markov chains; Engineered systems; Environmental conditions; Equilibrium; Equilibrium distributions; Evolutionary dynamics; Stochastic process; Transition probabilities, Computer crime; Ecosystems; Entropy; Markov processes; Multi agent systems, System stability
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 05 Jan 2023 11:16 UTC
Last Modified: 06 Jan 2023 11:56 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.