An empirical study of argumentation schemes in deliberative dialogue

Alice Toniolo, Timothy J Norman, Katia P Sycara

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

10 Citations (Scopus)
13 Downloads (Pure)


Collaborative decision making among agents in a team is a complex activity, and tasks to achieve individual objectives may conflict in a team context. A number of argumentation-based models have been proposed to address the problem, the rationale being that the revelation of background information and constraints can aid in the discovery and resolution of conflicts. To date, however, no empirical studies have been conducted to substantiate these claims. In this paper, we discuss a model, grounded on argumentation schemes, that captures potential conflicts due to scheduling and causality constraints, and individual goals and norms. We evaluate this model in complex collaborative planning problems and show that such a model facilitates the sharing of relevant information pertaining to plan, goal and normative conflicts. Further, we show that this focussed information sharing leads to more effective conflict resolution, particularly in the most challenging problems.
Original languageEnglish
Title of host publicationECAI 2012
Subtitle of host publication20th European Conference on Artificial Intelligence
EditorsL. De Raedt, C. Bessiere, D. Dubois, P. Doherty, P. Frasconi, F. Heintz, P. Lucas
PublisherIOS Press
Number of pages6
ISBN (Print)978-1-61499-097-0
Publication statusPublished - Aug 2012

Publication series

NameFrontiers in Artificial Intelligence and Applications


  • Multi-agent systems
  • Argumentation


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