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A brief introduction to agent mining

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Abstract

Agent mining is an emerging interdisciplinary area that integrates multiagent systems, data mining and knowledge discovery, machine learning and other relevant areas. It brings new opportunities to tackling issues in relevant fields more efficiently by engaging together the individual technologies. It will also bring about symbiosis and symbionts that combine advantages from the corresponding constituent systems. In this editorial, we briefly introduce the concept of agent mining, the main areas of research, and challenges and opportunities in agent mining. Finally, we give an overview of the papers in this special issue.

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Authors and Affiliations

  1. Advanced Analytics Institute, University of Technology, Sydney, Australia

    Longbing Cao

  2. Department of Knowledge Engineering, Maastricht University, Maastricht, The Netherlands

    Gerhard Weiss

  3. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

    Philip S. Yu

Authors
  1. Longbing Cao
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  2. Gerhard Weiss
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  3. Philip S. Yu
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Correspondence to Longbing Cao.

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Cao, L., Weiss, G. & Yu, P.S. A brief introduction to agent mining. Auton Agent Multi-Agent Syst 25, 419–424 (2012). https://doi.org/10.1007/s10458-011-9191-4

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