Ubiquitous Intelligence in Agent Mining

  • Longbing Cao
  • Dan Luo
  • Chengqi Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5680)

Abstract

Agent mining, namely the interaction and integration of multi-agent and data mining, has emerged as a very promising research area. While many mutual issues exist in both multi-agent and data mining areas, most of them can be described in terms of or related to ubiquitous intelligence. It is certainly very important to define, specify, represent, analyze and utilize ubiquitous intelligence in agents, data mining, and agent mining. This paper presents a novel but preliminary investigation of ubiquitous intelligence in these areas. We specify five types of ubiquitous intelligence: data intelligence, human intelligence, domain intelligence, network and web intelligence, organizational intelligence, and social intelligence. We define and illustrate them, and discuss techniques for involving them into agents, data mining, and agent mining for complex problem-solving. Further investigation on involving and synthesizing ubiquitous intelligence into agents, data mining, and agent mining will lead to a disciplinary upgrade from methodological, technical and practical perspectives.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Cao, L., Gorodetsky, V., Mitkas, P.: Agent Mining: The Synergy of Agents and Data Mining. IEEE Intelligent Systems (May/June 2009)Google Scholar
  2. 2.
    Cao, L., Gorodetsky, V., Mitkas, P.: Guest Editors’ Introduction: Agents and Data Mining (May/June 2009)Google Scholar
  3. 3.
    Cao, L. (ed.): Data Mining and Multiagent Integration. Springer, Heidelberg (2009)Google Scholar
  4. 4.
    Cao, L., Yu, P., Zhang, C., Zhao, Y.: Domain Driven Data Mining. Springer, Heidelberg (2009)MATHGoogle Scholar
  5. 5.
    Cao, L., Dai, R., Zhou, M.: Metasynthesis: M-Space, M-Interaction and M-Computing for Open Complex Giant Systems. IEEE Trans. on Systems, Man, and Cybernetics–Part A (2009)Google Scholar
  6. 6.
    Cao, L., et al.: Editor’s Introduction: Interaction between Agents and Data Mining. Int’l. J. Intelligent Information and Database Systems 2(1), 15 (2008)MathSciNetGoogle Scholar
  7. 7.
    Cao, L., Zhang, H., Zhao, Y., Zhang, C.: General Frameworks for Combined Mining: Case Studies in e-Government Services. Submitted to ACM TKDD (2008)Google Scholar
  8. 8.
    Cao, L., Dai, R.: Open Complex Intelligent Systems. Post & Telecom Press (2008)Google Scholar
  9. 9.
    Cao, L.: Metasynthetic Computing for Solving Open Complex Problems. In: IEEE International Workshop on Engineering Open Complex Systems: Metasynthesis of Computing Paradigms, joint with COMPSAC 2008 (2008)Google Scholar
  10. 10.
    Cao, L.: Integrating agents, services, organizational and social computing. Int. J. on Software Engineering and Knowledge Engineering (2008)Google Scholar
  11. 11.
    Cao, L., Luo, C., Zhang, C.: Agent-Mining Interaction: An Emerging Area. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds.) AIS-ADM 2007. LNCS (LNAI), vol. 4476, pp. 60–73. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  12. 12.
    Cao, L., et al.: Domain-Driven actionable knowledge discovery. IEEE Intelligent Systems 22(4), 78–89 (2007)CrossRefGoogle Scholar
  13. 13.
    Cao, L., Dai, R.: Agent-Oriented Metasynthetic Engineering for Decision Making. International Journal of Information Technology and Decision Making 2(2), 197–215 (2003)CrossRefGoogle Scholar
  14. 14.
    Dai, R.: Qualitative-to-Quantitative Metasynthetic Engineering. Pattern Recognition and Artificial Intelligence 6(2), 60–65 (1993)Google Scholar
  15. 15.
    Gorodetsky, V., et al. (eds.): AIS-ADM 2005. LNCS (LNAI), vol. 3505. Springer, Heidelberg (2005)Google Scholar
  16. 16.
    Gorodetsky, V., et al. (eds.): AIS-ADM 2007. LNCS (LNAI), vol. 4476. Springer, Heidelberg (2007)Google Scholar
  17. 17.
    Qian, X., Yu, J., Dai, R.: A New Scientific Field–Open Complex Giant Systems and the Methodology. Chinese Journal of Nature 13(1), 3–10 (1990)Google Scholar
  18. 18.
    Qian, X.: Revisiting Issues on Open Complex Giant Systems. Pattern Recognition and Artificial Intelligence 4(1), 5–8 (1991)Google Scholar
  19. 19.
    Symeonidis, A., Mitkas, P.: Agent Intelligence through Data Mining. Springer, Heidelberg (2005)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Longbing Cao
    • 1
  • Dan Luo
    • 1
  • Chengqi Zhang
    • 1
  1. 1.Faculty of Engineering and Information TechnologyUniversity of Technology SydneyAustralia

Personalised recommendations