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Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems

  • Ondřej Kazík
  • Roman Neruda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7607)

Abstract

We present an application of concepts of agent, role and group to the hybrid intelligence data-mining tasks. The computational MAS model is formalized in axioms of description logic. Two key functionalities — matchmaking and correctness verification in the MAS — are provided by the role model together with reasoning techniques which are embodied in specific ontology agent. Apart from a simple computational MAS scenario, other configurations such as pre-processing, meta-learning, or ensemble methods are dealt with.

Keywords

MAS role-based models data-mining computational intelligence description logic matchmaking closed-world assumption 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ondřej Kazík
    • 1
  • Roman Neruda
    • 2
  1. 1.Faculty of Mathematics and PhysicsCharles UniversityPragueCzech Republic
  2. 2.Institute of Computer ScienceAcademy of Sciences of the Czech RepublicPragueCzech Republic

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