NDLI: A retraining methodology for enhancing agent intelligence

Content Provider	IEEE Xplore Digital Library
Author	Mitkas, P.A. Symeonidis, A.L. Athanasiadis, I.N.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Greece (Mitkas, P.A.; Symeonidis, A.L.; Athanasiadis, I.N.)
Abstract	Data mining has proven a successful gateway for discovering useful knowledge and for enhancing business intelligence in a range of application fields. Incorporating this knowledge into already deployed applications, though, is highly impractical, since it requires reconfigurable software architectures, as well as human expert consulting. In an attempt to overcome this deficiency, we have developed agent academy, an integrated development framework that supports both design and control of multiagent systems (MAS), as well as agent training. We define agent training as the automated incorporation of logic structures generated through data mining into the agents of the system. The increased flexibility and cooperation primitives of MAS, augmented with the training and retraining capabilities of agent academy, provide a powerful means for the dynamic exploitation of data mining extracted knowledge. In this paper, we present the methodology and tools for agent retraining. Through experimental results with the agent academy platform, we demonstrate how the extracted knowledge can be formulated and how retraining can lead to the improvement - in the long run - of agent intelligence.
Sponsorship	IEEE Boston Sect
Starting Page	422
Ending Page	428
File Size	1899341
Page Count	7
File Format	PDF
ISBN	078039013X
DOI	10.1109/KIMAS.2005.1427118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiagent systems Software architecture Collaborative software Humans Companies Reconfigurable logic Delta modulation Data mining Application software Intelligent agent
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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