Skip to Main content Skip to Navigation
Conference papers

DAMN: Defeasible Reasoning Tool for Multi-Agent Reasoning

Abdelraouf Hecham 1 Madalina Croitoru 1 Pierre Bisquert 1, 2
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This demonstration paper introduces DAMN: a defeasible reasoning platform available on the web. It is geared towards decision making where each agent has its own knowledge base that can be combined with other agents to detect and visualize conflicts and potentially solve them using a semantics. It allows the use of different defeasible reasoning semantics (ambiguity blocking/propagating with or without team defeat) and integrates agent collaboration and visualization features.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Pierre Bisquert Connect in order to contact the contributor
Submitted on : Wednesday, December 4, 2019 - 3:24:58 PM
Last modification on : Friday, October 22, 2021 - 3:07:26 PM
Long-term archiving on: : Thursday, March 5, 2020 - 9:27:30 PM


Files produced by the author(s)



Abdelraouf Hecham, Madalina Croitoru, Pierre Bisquert. DAMN: Defeasible Reasoning Tool for Multi-Agent Reasoning. AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2020, New York, United States. ⟨lirmm-02393877⟩



Record views


Files downloads