Using arguments for making and explaining decisions

By Leila Amgoud, Henri Prade. Artificial Intelligence, 2009

400 citations recorded by the source corpus.

How researchers see this paper

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Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research (2022, background): “Arguments-based explanations involve outlining the features in a way that humans use to come to decisions to help humans to better understand the relevance of a feature [69].”
Facing up to the paradigm of ecological intensification in agronomy: Revisiting methods, concepts and knowledge (2011, methodology): “…for representing expertise and analysing the conflicts arising when 542 information from different sources is compared (several lay experts or a combination of lay 543 expertise and scientific knowledge; Amgoud & Kaci, 2007; Bench-Capon & Dunne, 2007; 544 Alsinet et al. 2008; Amgoud & Prade, 2009).”
A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods (2022, background): “Additionally, there are computational frameworks designed for modeling arguments, providing a good starting point for further research [3, 26].”