Novel techniques for modelling uncertain human reasoning in explainable artificial intelligence

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Novel techniques for modelling uncertain human reasoning in explainable artificial intelligence

In recent years, there has been a growing need for intelligent systems that not only are able to provide reliable predictions but can also produce explanations for their outputs. The demand for increased explainability has led to the emergence of explainable artificial intelligence (XAI) as a specif...

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Bibliographic Details
Main Author:	D'Alterio, Pasquale
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2021
Subjects:	fuzzy sets ai artificial intelligence human reasoning
Online Access:	https://eprints.nottingham.ac.uk/65632/

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