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Holonification Model for a Multilevel Agent-Based System. Application to Road Traffic

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Details:
In Int. Journal of Personal and Ubiquitous Computing, Springer, Rank: Q2, 2018.
DOI: 10.1007/s00779-018-1181-y.
Abstract:
Organizational models and holonic multi-agent systems are growing as a powerful tool for modeling and developing large-scale complex system. The main issue in deploying holonic multiagent systems is the building of the holonic model called holarchy. This paper presents a novel density approach to cluster and hierarchize population in order to build the initial holarchy. The proposal extends DBSCAN algorithm. Moreover, multilevel indicators based on standard deviation are proposed in order to evaluate the consistency of the holonification process. The proposed model is tested in a road traffic modeling in order to build the initial holarchy. The paper presents also the main research direction towards the control of internal and external stimuli of traffic over time.
Keywords:
DBSCAN, Holonic Multiagent System, Road Traffic, Multilevel Model, Initial Holarchy
Publication Category:
International journal with reading committee
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