Stability of multi-agent systems

Maria Chli, Phillipe de Wilde, Jan Goossenaerts, Vladimir Abramov, Nick Szirbik, Luis Correia, Pedro Mariano, Rita Ribeiro

Research output: Chapter in Book/Published conference outputConference publication


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.
Original languageEnglish
Title of host publicationIEEE International Conference on Systems, Man and Cybernetics, 2003
Number of pages6
ISBN (Print)0-7803-7952-7
Publication statusPublished - 2003
EventIEEE International Conference on Systems, Man and Cybernetics, 2003 - Washington, DC, United States
Duration: 5 Oct 20038 Oct 2003

Publication series

NameIEEE International Conference on Systems, Man, and Cybernetics: conference proceedings
ISSN (Print)1062-922X


ConferenceIEEE International Conference on Systems, Man and Cybernetics, 2003
Country/TerritoryUnited States
CityWashington, DC


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