Assigning Likelihoods to Interlocutors’ Beliefs and Arguments

Seyed Ali Hosseini*, Sanjay Modgil, Odinaldo Rodrigues

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

1 Citation (Scopus)

Abstract

This paper proposes mechanisms for agents to model other agents’ beliefs and arguments, thus enabling agents to anticipate their interlocutors’ arguments in dialogues, which in turn facilitates strategising and the use of enthymemes. In contrast with existing works on “opponent modelling” that treat arguments as abstract entities, the likelihood that an interlocutor can construct an argument is derived from the likelihoods that it possesses the beliefs required to construct the argument. We therefore address how a modelling agent can quantify the certainty that its interlocutor possesses beliefs, based on the modeller’s previous dialogues, and the membership of its interlocutor in communities.2

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
EditorsPietro Baroni, Thomas F. Gordon, Tatjana Scheffler, Manfred Stede
PublisherIOS Press BV
Pages339-350
Number of pages12
ISBN (Electronic)9781614996859
DOIs
Publication statusPublished - 2016
Event6th International Conference on Computational Models of Argument, COMMA 2016 - Potsdam, Germany
Duration: 12 Sept 201616 Sept 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume287
ISSN (Print)0922-6389

Conference

Conference6th International Conference on Computational Models of Argument, COMMA 2016
Country/TerritoryGermany
CityPotsdam
Period12/09/201616/09/2016

Keywords

  • Argumentation-based dialogue
  • Community of agents
  • Second-order argument
  • Second-order belief

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