. "8"^^ . . . . "A Framework for Agent-Based Distributed Machine Learning and Data Mining" . "Tento \u010Dl\u00E1nek p\u0159edstavuje platformu pro agentn\u00ED distribuovan\u00E9 strojov\u00E9 u\u010Den\u00ED a dolov\u00E1n\u00ED dat zalo\u017Een\u00E9 na (i) v\u00FDm\u011Bn\u011B meta-popis\u016F individu\u00E1ln\u00EDch proces\u016F u\u010Den\u00ED mezi agenty a (ii) realtimov\u00E9 uva\u017Eov\u00E1n\u00ED agent\u016F o \u00FAsp\u011B\u0161nosti jejich u\u010D\u00EDc\u00EDch proces\u016F. P\u0159edkl\u00E1d\u00E1me abstraktn\u00ED architekturu umo\u017E\u0148uj\u00EDc\u00ED agent\u016Fm vz\u00E1jemnou v\u00FDm\u011Bnu model\u016F jejich lok\u00E1ln\u00EDch u\u010D\u00EDc\u00EDch proces\u016F a uv\u00E1d\u00EDme \u0159adu rozli\u010Dn\u00FDch metod integrace t\u011Bchto proces\u016F. To n\u00E1m d\u00E1le umo\u017En\u00ED aplikovat existuj\u00EDc\u00ED mechanismy interakce mezi agenty pro pot\u0159eby \u0159e\u0161en\u00ED probl\u00E9m\u016F distribuovan\u00E9ho strojov\u00E9ho u\u010Den\u00ED, a tedy vyu\u017E\u00EDt \u00FA\u010Dinn\u00E9 koordina\u010Dn\u00ED metody, kter\u00E9 multiagentn\u00ED prost\u0159ed\u00ED poskytuje a d\u00EDky kter\u00FDm mohou agenti prov\u00E1d\u011Bt metauva\u017Eov\u00E1n\u00ED o sv\u00FDch rozhodnut\u00EDch. Tuto architekturu nasazujeme na re\u00E1ln\u00FD distribuovan\u00FD probl\u00E9m clusterov\u00E1n\u00ED a ilustrujeme t\u00EDm, jak lze tuto konceptu\u00E1ln\u00ED platformu vyu\u017E\u00EDt v existuj\u00EDc\u00EDch syst\u00E9mech, v nich\u017E rozd\u00EDln\u00E9 u\u010D\u00EDc\u00ED se entity mohou pou\u017E\u00EDvat odli\u0161n\u00E9 sady dat, hypot\u00E9zy i algoritmy u\u010Den\u00ED."@cs . "This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes among agents and (ii) online reasoning about learning success and learning progress by learning agents. We present an abstract architecture that enables agents to exchange models of their local learning processes and introduces a number of different methods for integrating these processes. This allows us to apply existing agent interaction mechanisms to distributed machine learning tasks, thus leveraging the powerful coordination methods available in agent-based computing, and enables agents to engage in meta-reasoning about their own learning decisions. We apply this architecture to a real-world distributed clustering application to illustrate how the conceptual framework can be used in practical systems in which different learners may be using different datasets, hypotheses and learning algorithms." . "978-81-904262-7-5" . "RIV/68407700:21230/07:03131230!RIV09-MSM-21230___" . . "To\u017Ei\u010Dka, Jan" . "RIV/68407700:21230/07:03131230" . "A Framework for Agent-Based Distributed Machine Learning and Data Mining" . . "[2A6340C713EE]" . . "IFAAMAS" . . "Honolulu" . "407893" . "21230" . "This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes among agents and (ii) online reasoning about learning success and learning progress by learning agents. We present an abstract architecture that enables agents to exchange models of their local learning processes and introduces a number of different methods for integrating these processes. This allows us to apply existing agent interaction mechanisms to distributed machine learning tasks, thus leveraging the powerful coordination methods available in agent-based computing, and enables agents to engage in meta-reasoning about their own learning decisions. We apply this architecture to a real-world distributed clustering application to illustrate how the conceptual framework can be used in practical systems in which different learners may be using different datasets, hypotheses and learning algorithms."@en . . . "A Framework for Agent-Based Distributed Machine Learning and Data Mining"@en . . "County of Richland" . "Proceedings of the Sixth International Conference on Autonomous Agents and Multiagent Systems" . . "Platforma pro agentn\u00ED distribuovan\u00E9 strojov\u00E9 u\u010Den\u00ED a dolov\u00E1n\u00ED dat"@cs . "A Framework for Agent-Based Distributed Machine Learning and Data Mining"@en . "2007-05-14+02:00"^^ . "3"^^ . "P\u011Bchou\u010Dek, Michal" . . "Platforma pro agentn\u00ED distribuovan\u00E9 strojov\u00E9 u\u010Den\u00ED a dolov\u00E1n\u00ED dat"@cs . . "V" . "Rovatsos, M." . . . "data mining; machine learning; multi-agent learning"@en . "2"^^ .