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

  • Gernot Bahle
  • Andreas Poxrucker
  • George Kampis
  • Paul Lukowicz
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 674)


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.


Ad 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, The paper is partially supported by the Russian Scientific Foundation, grant #14-21-00137.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Gernot Bahle
    • 1
  • Andreas Poxrucker
    • 1
  • George Kampis
    • 1
    • 2
    • 3
  • Paul Lukowicz
    • 1
  1. 1.DFKI German Research Centre for Artificial IntelligenceKaiserslauternGermany
  2. 2.Eötvös UniversityBudapestHungary
  3. 3.ITMO UniversitySt. PetersburgRussia

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