Query based learning in multi-agent systems
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Dosyalar
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study focuses on query based learning in multi-agent systems which include both data management operations and coordination activities. The study is oriented on agent based and database systems with model driven approach (MDA) which provides arrangement of data within a multi-agent system by letting filter with query based learning which supports the decision mechanism within the system. It uses the similarity measure on maximum entropy approach, which is often to find out interesting and meaningful patterns from databases. At the same time, it may generate a variety of rules, such as classification rules, throughout to learning rules of the query based learning process.
Açıklama
2011 International Conference on Artificial Intelligence, ICAI 2011 -- 18 July 2011 through 21 July 2011 -- Las Vegas, NV -- 92464
Anahtar Kelimeler
Entropy, Model Driven Approach, Multi-agent System, Query Based Learning
Kaynak
Proceedings of the 2011 International Conference on Artificial Intelligence, ICAI 2011
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
1
