Exploratory interaction with a Bayesian argumentation system

  • Authors:
  • Ingrid Zukerman;Richard McConachy;Kevin Korb;Deborah Pickett

  • Affiliations:
  • School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, Australia;School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, Australia;School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, Australia;School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, Australia

  • Venue:
  • IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1999

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Abstract

We describe an interactive system which supports the exploration of arguments generated from Bayesian networks. In particular, we consider key features which support interactive behaviour: (1) an attentional mechanism which updates the activation of concepts as the interaction progresses; (2) a set of exploratory responses; and (3) a set of probabilistic patterns and an Argument Grammar which support the generation of natural language arguments from Bayesian networks. A preliminary evaluation assesses the effect of our exploratory responses on user's beliefs.