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)


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.


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.


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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

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