2012
DOI: 10.25088/complexsystems.21.3.165
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Robustness of Multi-agent Models: The Example of Collaboration between Turmites with Synchronous and Asynchronous Updating

Abstract: The robusntess of multi-agent systems to simulation conditions is analysed through a precise example, invented by Langton to investigate the foundations of artificial life. This system is composed of simple and memoryless agents, the turmites, which obey simple discrete local rules. While the local rules that govern each agent are kept constant, the interaction between agents are modified through nine variations. Our method consists in varying the updating scheme (synchronous vs. asynchronous) and the local co… Show more

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Cited by 10 publications
(4 citation statements)
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“…The solution relies on a framework invented by Ferber and Müller called influence-reaction [44]. Belgacem and Fatès later extended this work by considering a wider range of updating procedures and discovered some phenomena (e.g., gliders) that resisted variations in the updating choices [13].…”
Section: Links With Multi-agent Systemsmentioning
confidence: 99%
“…The solution relies on a framework invented by Ferber and Müller called influence-reaction [44]. Belgacem and Fatès later extended this work by considering a wider range of updating procedures and discovered some phenomena (e.g., gliders) that resisted variations in the updating choices [13].…”
Section: Links With Multi-agent Systemsmentioning
confidence: 99%
“…conservation of the number of particles) [BFC13a]. Similar difficulties arise when agents can move on the cellular grid and one needs to define some procedures to solve the conflicts that may occur when several agents want to modify simultaneously the same cell [CF10,BF12].…”
Section: Randomness In the Updatingmentioning
confidence: 99%
“…Uncertain channels have also been considered in [38] and [39]. The robustness of a MAS for collaboration between termites has been studied in [40]. A fault-tolerant infrastructure in Cougar MAS introduced in [41] and applied to a large-scale logistics application over 1000 agents.…”
Section: Robustness In Holonic Multi-agent Systemsmentioning
confidence: 99%