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From Weighted Conditionals of Multilayer Perceptrons to Gradual Argumentation and Back
[article]
2021
arXiv
pre-print
A fuzzy multipreference semantics has been recently proposed for weighted conditional knowledge bases, and used to develop a logical semantics for Multilayer Perceptrons, by regarding a deep neural network (after training) as a weighted conditional knowledge base. This semantics, in its different variants, suggests some gradual argumentation semantics, which are related to the family of the gradual semantics studied by Amgoud and Doder. The relationships between weighted conditional knowledge
arXiv:2110.03643v2
fatcat:gldesf73lrhnlknidfe2yc6lwm