0384818 - ÚI 2013 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Neruda, Roman - Šlapák, M.
Evolving Decision Strategies for Computational Intelligence Agents.
Intelligent Computing Theories and Applications. Berlin: Springer, 2012 - (Huang, D.; Ma, J.; Jo, K.; Gromiha, M.), s. 213-220. Lecture Notes in Artificial Intelligence, 7390. ISBN 978-3-642-31575-6. ISSN 0302-9743.
[ICIC 2012. Intelligent Computing Theories and Applications. International Conference /8./. Huangshan (CN), 25.07.2012-29.07.2012]
Grant CEP: GA ČR GAP202/11/1368
Institucionální podpora: RVO:67985807
Klíčová slova: computational intelligence * genetic programming * intelligent agents
Kód oboru RIV: IN - Informatika
DOI: https://doi.org/10.1007/978-3-642-31576-3_28

An adaptive control system for computational intelligence agent within a data mining multi-agent system is presented. As opposed to other approaches concerning a fixed control mechanism, the presented approach is based on evolutionary trained decission trees. This leads to control approach created adaptively based on data tasks the agent encounters during its adaptive phase. A pilot implementation within a JADE-based data mining system illustrates the suitability of such approach.
Trvalý link: http://hdl.handle.net/11104/0007336