Learning policies through argumentation-derived evidence

  • Authors:
  • Chukwuemeka D. Emele;Timothy J. Norman;Frank Guerin;Simon Parsons

  • Affiliations:
  • University of Aberdeen, Aberdeen, UK;University of Aberdeen, Aberdeen, UK;University of Aberdeen, Aberdeen, UK;City University of New York

  • Venue:
  • Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
  • Year:
  • 2010

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Abstract

We present an efficient approach for identifying, learning and modeling the policies of others during collaborative activities. In a set of experiments, we demonstrate that more accurate models of others' policies (or norms) can be developed more rapidly using various forms of evidence from argumentation-based dialogue.