ArgTrust: decision making with information from sources of varying trustworthiness

  • Authors:
  • Simon Parsons;Elizabeth Sklar;Jordan Salvit;Holly Wall;Zimi Li

  • Affiliations:
  • CUNY Brooklyn College, New York, NY, USA;CUNY Brooklyn College, New York, NY, USA;CUNY Graduate Center, New York, NY, USA;CUNY Brooklyn College, New York, NY, USA;CUNY Graduate Center, New York, NY, USA

  • Venue:
  • Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
  • Year:
  • 2013

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Abstract

This work aims to support decision making in situations where sources of information are of varying trustworthiness. Formal argumentation is used to capture the relationships between such information sources and conclusions drawn from them. A prototype implementation is demonstrated, applied to a problem from military decision making.