An Adaptive and Dynamic Simulation Framework for Incremental, Collaborative Classifier Fusion
To investigate incremental collaborative classifier fusion techniques, we have developed a comprehensive simulation framework. It is highly flexible and customizable, and can be adapted to various settings and scenarios. The toolbox is realized as an extension to the NetLogo multi-agent based simulation environment using its comprehensive Java-API. The toolbox has been integrated in two different environments, one for demonstration purposes and another, modeled on persons using realistic motion data from Zurich, who are communicating in an ad hoc fashion using mobile devices.
KeywordsAd hoc communication Incremental classifier fusion Collaborative computing
This work is supported by the European Community (FP7/2007-2013) under grant agreement #600854 “Smart Society” as well as the H2020 Program under “FET Proactive: Global Systems Sciences” (GSS), grant agreement #641191 (CIMPLEX, https://www.cimplex-project.eu). The paper is partially supported by the Russian Scientific Foundation, grant #14-21-00137.
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