Skip to main content
Kent Academic Repository

Stability of multi-agent systems

Chli, M., De Wilde, P., Goossenaerts, J., Abramov, V., Szirbik, N., Correia, L., Mariano, P., Ribeiro, R. (2003) Stability of multi-agent systems. In: SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance. 1. pp. 551-556. IEEE ISBN 0-7803-7952-7. (doi:10.1109/ICSMC.2003.1243872) (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:58048)

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:
https://doi.org/10.1109/ICSMC.2003.1243872

Abstract

This work attempts to shed light to the fundamental concepts behind the stability of Multi-Agent Systems. We view the system as a discrete time Markov chain with a potentially unknown transitional probability distribution. The system will be considered to be stable when its state has converged to an equilibrium distribution. Faced with the non-trivial task of establishing the convergence to such a distribution, we propose a hypothesis testing approach according to which we test whether the convergence of a particular system metric has occurred. We describe some artificial multi-agent ecosystems that were developed and we present results based on these systems which confirm that this approach qualitatively agrees with our intuition.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/ICSMC.2003.1243872
Uncontrolled keywords: Decision making; Decision support systems; Distributed computer systems; Game theory; Markov processes; Probability distributions, Artificial multi agent ecosystems; Discrete time Markov chain; Equilibrium distribution, Multi agent systems
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 04 Jan 2023 09:29 UTC
Last Modified: 05 Jan 2023 16:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58048 (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.