Infrastructural Issues for Agent-Based Distributed Learning

The experience proved that integration of multi-agent and data mining technologies provides mutual enrichment of them both and leads to emergence of new design technologies and systems with better properties. However, this integration put forward novel problems of different kinds. The paper consider...

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Bibliographic Details
Main Authors: Gorodetskiy, V., Karsaev, O., Samoilov, V.
Format: Conference Proceeding
Language:English
Subjects:
Chemical technology
Collaboration
Collaborative software
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems
Computing methodologies > Machine learning > Learning paradigms > Supervised learning > Supervised learning by classification
Computing methodologies > Machine learning > Machine learning approaches > Classification and regression trees
Data mining
Distributed decision making
Human-centered computing > Collaborative and social computing
Intelligent agent
Management training
Multiagent systems
Paper technology
Protocols
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Summary:The experience proved that integration of multi-agent and data mining technologies provides mutual enrichment of them both and leads to emergence of new design technologies and systems with better properties. However, this integration put forward novel problems of different kinds. The paper considers agent-based distributed design technology of distributed classification systems and presents basic components of the software infrastructure intended for support of the aforementioned design technology. The paper also analyzes associated problems and outlines some basic solutions proposed.
DOI:10.1109/WI-IATW.2006.80