Combined Argumentation and Simulation to Support Decision - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Book Sections Year : 2017

Combined Argumentation and Simulation to Support Decision

Abstract

Although modeling argument structures is helpful to make involved parties understand the pros and cons of an issue and the context of each other's positions, stakeholders have no means to anticipate the impacts of adopting the debated solutions, let alone to compare them. This is where using simulation approaches would greatly enrich the deliberation process. This paper introduces an approach combining argumen-tation and simulation. We consider a case study in which both are used to assess and compare cultural options available to farmers.

Dates and versions

lirmm-04132902 , version 1 (19-06-2023)

Identifiers

Cite

Rallou Thomopoulos, Bernard Moulin, Laurent Bedoussac. Combined Argumentation and Simulation to Support Decision. Salem Benferhat; Karim Tabia Moonis Ali. Advances in Artificial Intelligence: From Theory to Practice, LNCS (10351), Springer, pp.275-281, 2017, Lecture Notes in Artificial Intelligence, 978-3-319-60045-1. ⟨10.1007/978-3-319-60045-1_30⟩. ⟨lirmm-04132902⟩
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