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Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks

Areski Himeur 1 Bruno Yun 2 Pierre Bisquert 3, 1 Madalina Croitoru 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Argumentation provides a formalism consisting of arguments and attacks/supports between these arguments and can be used to rank or deduce justified conclusions. In multi-agent settings, where several agents can advance arguments at the same time, understanding which agent has the most influence on a particular argument can improve an agent's decision about which argument to advance next. In this paper, we introduce an argumentation framework with authorship and define new semantics to account for the impact of the agents on the arguments. We propose a set of desirable principles that such a semantics should satisfy, instantiate such semantics from two popular graded based semantics, and study to which extent these principles are satisfied. These semantics will allow an observer to identify the most influential agents in a debate.
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Contributor : Pierre Bisquert Connect in order to contact the contributor
Submitted on : Wednesday, September 22, 2021 - 2:16:08 PM
Last modification on : Monday, October 11, 2021 - 1:25:02 PM


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  • HAL Id : hal-03351536, version 1


Areski Himeur, Bruno Yun, Pierre Bisquert, Madalina Croitoru. Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks. AI 2021 - 41st BCS SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Dec 2021, Cambridge (virtual), United Kingdom. ⟨hal-03351536⟩



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