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Knowledge Discovery for Training Intelligent Agents: Methodology, Tools and Applications

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Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3505))

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Abstract

In this paper we address a relatively young but important area of research: the intersection of agent technology and data mining. This intersection can take two forms: a) the more mundane use of intelligent agents for improved knowledge discovery and b) the use of data mining techniques for producing smarter, more efficient agents. The paper focuses on the second approach. Knowledge, hidden in voluminous data repositories routinely created and maintained by today’s applications, can be extracted by data mining. The next step is to transform this knowledge into the inference mechanisms or simply the behavior of agents in multi-agent systems. We call this procedure “agent training.” We define different levels of agent training and we present a software engineering methodology that combines the application of deductive logic for generating intelligence from data with a process for transferring this knowledge into agents. We introduce Agent Academy, an integrated open-source framework, which supports data mining techniques and agent development tools. We also provide several examples of multi-agent systems developed with this approach.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, and Informatics & Telematics Institute, CERTH, Thessaloniki, Greece

    Pericles Mitkas

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  1. Pericles Mitkas
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Editor information

Editors and Affiliations

  1. St. Petersburg Intitute for Informaticsand Automation, 39, 14-th Liniya, 199178, St. Petersburg, Russia

    Vladimir Gorodetsky

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. US Air Force, Binghamton University (SUNYI), Binghamton, 13902, NY, USA

    Victor A. Skormin

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© 2005 Springer-Verlag Berlin Heidelberg

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Mitkas, P. (2005). Knowledge Discovery for Training Intelligent Agents: Methodology, Tools and Applications. In: Gorodetsky, V., Liu, J., Skormin, V.A. (eds) Autonomous Intelligent Systems: Agents and Data Mining. AIS-ADM 2005. Lecture Notes in Computer Science(), vol 3505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492870_2

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  • DOI: https://doi.org/10.1007/11492870_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26164-3

  • Online ISBN: 978-3-540-31932-0

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