Agents in the Era of Big Data: What the “End of Theory” Might Mean for Agent Systems

  • Aditya Ghose
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8291)

Abstract

Our ability to collect, manage and analyze vast amounts of data has led some to predict the demise of theory. This has important implications for research in agent systems. It can mean that specifications of agent intent, or of agent behaviour, or the norms that constrain agent behaviour can be learnt from data and maintained in the face of continuous data streams. I will offer some examples of how the agents community is beginning to leverage data in this fashion, and what the challenges might be in the future.

Keywords

Agent System Agent Behaviour Agent Program Agent Plan Continuous Data Stream 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Norvig, P.: On chomsky and the two cultures of statistical learning. On-line essay in response to Chomsky’s remarks in [2] (2011), http://norvig.com/chomsky.html
  2. 2.
    Anderson, C.: The end of theory. Wired Magazine 16 (2008)Google Scholar
  3. 3.
    Gao, X., Singh, M.P., Mehra, P.: Mining business contracts for service exceptions. IEEE Transactions on Services Computing 5, 333–344 (2012)CrossRefGoogle Scholar
  4. 4.
    Xu, H., Savarimuthu, B.T.R., Ghose, A.K., Morrison, E., Cao, Q., Shi, Y.: Automatic bdi plan recognition from process execution logs and effect logs. In: Proc. of the EMAS-2013 Workshop, Held in Conjunction with AAMAS-2013. LNCS (LNAI). Springer (to appear, 2013)Google Scholar
  5. 5.
    Ghose, A.K., Morrison, E., Gou, Y.: A novel use of big data analytics for service innovation harvesting. In: Proc. of the 2013 International Conference on Service Science and Innovation. IEEE Computer Society Press (2013)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Aditya Ghose
    • 1
  1. 1.Decision Systems Laboratory, School of Computer Science and Software EngineeringUniversity of WollongongAustralia

Personalised recommendations