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Agent Populations as Computational Intelligence

  • Marek Kisiel-Dorohinicki
  • Grzegorz Dobrowolski
  • Edward Nawarecki
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Abstract

The paper deals with agent-based architectures of hybrid soft-computing systems, which should exhibit intelligent behaviour at a population level. Three levels of complexity of such systems are distinguished together with their potential advantages. The considerations are illustrated by prototypical realisations of evolutionary multi-agent systems dedicated to multiobjective optimisation, data classification, and time-series prediction.

Keywords

Multiobjective Optimisation Soft Computing Pareto Frontier Soft Computing Technique Intelligent Behaviour 
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 Berlin Heidelberg 2003

Authors and Affiliations

  • Marek Kisiel-Dorohinicki
    • 1
  • Grzegorz Dobrowolski
    • 1
  • Edward Nawarecki
    • 1
  1. 1.Department of Computer ScienceUniversity of Mining and MetallurgyKrakówPoland

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