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An Adaptive and Dynamic Simulation Framework for Incremental, Collaborative Classifier Fusion

  • Abstract. 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 di↵erent environments, one for demonstration purposes and another, modeled on persons using re- alistic motion data from Zurich, who are communicating in an ad hoc fashion using mobile devices.

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Author:Gernot Bahle, Andreas Poxrucker, George Kampis, Paul Lukowicz
URN (permanent link):urn:nbn:de:hbz:386-kluedo-44844
Editor(s):Andrei Chugunov, Radomir Bolgov, Yury Kabanov, George Kampis, Maria Wimmer
Document Type:Conference Proceeding
Language of publication:English
Publication Date:2016/11/04
Year of Publication:2016
Publishing Institute:Technische Universität Kaiserslautern
Date of the Publication (Server):2016/11/08
Number of page:10
Source:in: Andrei V. Chugunov, Radomir Bolgov, Yury Kabanov, George Kampis and Maria Wimmer (editors): Digital Transformation and Global Society, Springer LLNCS, 2016 (or 2017), pp. 581-590.
Faculties / Organisational entities:Fachbereich Informatik
DDC-Cassification:0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):Zweitveröffentlichung