E Black

F Nouioua

H Prakken

L Amgoud

M Rovatsos

N Oren

PE Dunne

PM Dung

S Modgil

Christos Hadjinikolis

Sanjay Modgil

Elizabeth Black

Crossref

Building Support-Based Opponent Models in Persuasion Dialogues

This paper deals with an approach to opponent-modellingin argumentation-based persuasion dialogues. It assumes that dialogueparticipants (agents) have models of their opponents' knowledge, whichcan be augmented based on previous dialogues. Specifically, previous di-alogues indicate relationships of support, which refer both to argumentsas abstract entities and to their logical constituents. The augmentationof an opponent model relies on these relationships. An argument ex-ternal to an opponent model can augment that model with its logicalconstituents, if that argument shares support relationships with otherarguments that can be constructed from that model. The likelihood thatthe constituents of supporting arguments will in fact be known to anopponent, varies according to support types. We therefore provide cor-responding quantifications for each support type

Hadjinikolis, Christos

Modgil, Sanjay

Black, Elizabeth

King's Research Portal

English

Building support-based opponent models in persuasion dialogues

https://kclpure.kcl.ac.uk/ws/files/46059849/hadjinkolis_modgil_black_tafa2015.pdf

Building support-based opponent models in persuasion dialogues

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King's Research Portal