Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM 2005)

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

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Symeonidis, A., Mitkas, P.A.: Agent Intelligence Through Data Mining. Springer, Heidelberg (2005)

    MATH  Google Scholar 

  2. Lind, J.: Issues in Agent-Oriented Software Engineering. In: First International Workshop on Agent-Oriented Software Engineering (AOSE-2000), Limerick, Ireland (2000)

    Google Scholar 

  3. Galitsky, B., Pampapathi, R.: Deductive and inductive reasoning for processing the claims of unsatisfied customers. In: Proc. of the 16th IEA/AIE Conference, pp. 21–30. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  4. Fernandes, A.A.A.: Combining inductive and deductive inference in knowledge management tasks. In: Proc. of the 11th International Workshop on Database and Expert Systems Applications, pp. 1109–1114. IEEE Computer Society, Los Alamitos (2000)

    Chapter  Google Scholar 

  5. Kero, B., Russell, L., Tsur, S., Shen, W.M.: An overview of data mining technologies. In: Proc. of the KDD Workshop in the 4th International Conference on Deductive and Object-Oriented Databases (1995)

    Google Scholar 

  6. Agent Academy, http://www.source-forge.net/projects/AgentAcademy and http://agentacademy.iti.gr/

  7. Mitkas, P.A., Kehagias, D., Symeonidis, A.L., Athanasiadis, I.: A framework for constructing multi-agent applications and training intelligent agents. In: Proc. of the 4th International Workshop on Agent-Oriented Software Engineering, pp. 1–16. Springer, Heidelberg (2003)

    Google Scholar 

  8. Bellifemine F., Poggi A., Rimassa G., Turci P.: An Object-Oriented Framework to realize Agent Systems. In: Proceedings of WOA 2000 Workshop, Parma, Italy, pp. 52–57 (2000)

    Google Scholar 

  9. Foundation for Intelligent Physical Agents, the: FIPA Developer’s Guide (2001), available at http://www.fipa.org/specs/fipa00021/

  10. Bellifemine, F., Caire, G., Trucco, T., Rimassa, G.: JADE Programmer’s Guide (2001), available at http://sharon.cselt.it/

  11. Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and Multi-Agent Systems 3(3), 285–312 (2000)

    Article  Google Scholar 

  12. Foundation for Intelligent Physical Agents, the: FIPA Communicative Act Library Specification (2001), available at http://www.fipa.org/specs/fipa00037/

  13. Foundation for Intelligent Physical Agents, the: FIPA SL Content Language Specification (2002), available at http://www.fipa.org/specs/fipa00008/

  14. Foundation for Intelligent Physical Agents, the: FIPA ACL Message Structure Specification (2002), available at http://www.fipa.org/specs/fipa00037/

  15. Noy, N.F., Sintek, M., Decker, S., Crubezy, M., Fergerson, R.W., Musen, M.A.: Creating Semantic Web Contents with Protégé-2000. IEEE Intelligent Systems 16(2), 60–71 (2001)

    Article  Google Scholar 

  16. Data Mining Group, the: Predictive Model Markup Language Specifications (PMML), ver. 2.0 available at http://www.dmg.org

  17. Java Expert System Shell (JESS), http://herzberg.ca.sandia.gov/jess/

  18. Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann publishers, San Francisco (2000)

    Google Scholar 

  19. Symeonidis, A.L., Kehagias, D., Mitkas, P.A.: Intelligent policy recommendations on enterprise resource planning by the use of agent technology and data mining techniques. Expert Systems with Applications 25, 589–602 (2003)

    Article  Google Scholar 

  20. Symeonidis, A.L., Kehagias, D., Koumpis, A., Vontas, A.: Open Source Supply Chain. In: 10th International Conference on Concurrent Engineering (CE-2003), Workshop on intelligent agents and data mining: research and applications, Madeira, Portugal (2003)

    Google Scholar 

  21. Athanasiadis, I.N., Kaburlasos, V.G., Mitkas, P.A., Petridis, V.: Applying Machine Learning Techniques on Air Quality Data for Real-Time Decision Support. In: First International NAISO Symposium on Information Technologies in Environmental Engineering (ITEE 2003), Gdansk, Poland (2003)

    Google Scholar 

  22. Athanasiadis, I.N., Mitkas, P.A.: An agent-based intelligent environmental monitoring system. Management of Environmental Quality 15, 229–237 (2004)

    Article  Google Scholar 

  23. Symeonidis, A.L., Mitkas, P.A.: A methodology for predicting agent behaviour by the use of data mining techniques. In: Proc. of AIS-ADM 2005 workshop, St. Petersberg, Russia (2005)

    Google Scholar 

  24. Kehagias, D., Symeonidis, A.L., Mitkas, P.A.: Designing pricing mechanisms for autonomous agents based on bid-forecasting. Journal of Electronic Markets 15 (2005)

    Google Scholar 

  25. Symeonidis, A.L., Seroglou, S., Valtos, E., Mitkas, P.A.: Biotope: An Integrated Simulation Tool for Multiagent Communities Residing in Hostile Environments. To appear in IEEE Transactions on Systems, Man, and Cybernetics (2005)

    Google Scholar 

Download references

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

Authors
  1. Pericles Mitkas
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26164-3

  • Online ISBN: 978-3-540-31932-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation