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.

Metadaten
Author:	Gernot Bahle, Andreas Poxrucker, George Kampis, Paul Lukowicz
URN:	urn:nbn:de:hbz:386-kluedo-44844
Editor:	Andrei Chugunov, Radomir Bolgov, Yury Kabanov, George Kampis, Maria Wimmer
Document Type:	Conference Proceeding
Language of publication:	English
Date of Publication (online):	2016/11/04
Year of first Publication:	2016
Publishing Institution:	Technische Universität Kaiserslautern
Date of the Publication (Server):	2016/11/08
Page Number:	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. 600-609.
Faculties / Organisational entities:	Kaiserslautern - Fachbereich Informatik
DDC-Cassification:	0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):	Lizenz nach Originalpublikation