Multi-Agent Environment for Hybrid AI Models

  • Roman Neruda
  • Pavel Krušina
  • Zuzana Petrová
Conference paper


We describe a system which represents hybrid computational models as communities of cooperating autonomous software agents. It supports easy creation of combinations of modern artificial intelligence methods, namely neural networks, genetic algorithms and fuzzy logic controllers, and their distributed deployment over a cluster of workstations. The adaptive agents paradigm allows for semiautomated model generation, or even evolution of hybrid schemes.


Fuzzy Logic Controller Software Agent Agent Scheme Method Invocation Task Parallelization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Roman Neruda
  • Pavel Krušina
  • Zuzana Petrová
    • 1
  1. 1.Institute of Computer ScienceAcademy of Sciences of the Czech RepublicPragueCzech Republic

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