Building support-based opponent models in persuasion dialogues

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Abstract

This paper deals with an approach to opponent-modelling
in argumentation-based persuasion dialogues. It assumes that dialogue
participants (agents) have models of their opponents' knowledge, which
can be augmented based on previous dialogues. Specifically, previous di-
alogues indicate relationships of support, which refer both to arguments
as abstract entities and to their logical constituents. The augmentation
of an opponent model relies on these relationships. An argument ex-
ternal to an opponent model can augment that model with its logical
constituents, if that argument shares support relationships with other
arguments that can be constructed from that model. The likelihood that
the constituents of supporting arguments will in fact be known to an
opponent, varies according to support types. We therefore provide cor-
responding quantifications for each support type.
Original languageEnglish
Title of host publicationTheory and Applications of Formal Argumentation
Subtitle of host publicationThird International Workshop, TAFA 2015, Buenos Aires, Argentina, July 25-26, 2015, Revised selected papers
PublisherSpringer Berlin Heidelberg
Pages128-145
VolumeLNAI 9524
ISBN (Electronic)9783319284606
ISBN (Print)9783319284590
DOIs
Publication statusE-pub ahead of print - 7 Jan 2016

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