Titlebook: AIxIA 2020 – Advances in Artificial Intelligence; XIXth International Matteo Baldoni,Stefania Bandini Conference proceedings 2021 Springer

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https://doi.org/10.1007/978-94-011-2716-5tation framework (reminding shared constraint store as in concurrent constraint). We introduce also basic expansions, contraction and revision procedures as main bricks for enforcement, debate, negotiation and persuasion.

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Conference proceedings 2021The 27 full papers were carefully reviewed and selected from 89 submissions. The society aims at increasing?the public awareness of Artificial Intelligence, encouraging the teaching and promoting research in the field..

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Michel Deville,Steven A. Orszags has become crucial. Although outcome explanation has been recently taken into account as a solution to the transparency issue in many areas, affect computing is one of the domains with the least dedicated effort on the practice of explainable AI, particularly over different machine learning models

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https://doi.org/10.1007/BFb0086897 actors once integrated with sub-symbolic techniques..In particular, we show how argumentation could be combined with different extensions of logic programming – namely, abduction, inductive logic programming, and probabilistic logic programming – to address the issues of explainable AI as well as s

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Absolutely Continuous Approximations,ly exploited for supporting education, though especially deep learning (DL) models are normally suffering from some degree of opacity and lack of interpretability. Explainable AI (XAI) is aimed at creating a set of new AI techniques able to improve their output or decisions with more transparency an