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Zadehian Paradigms Shaping 21 Century Artificial Intelligence

Studies in Fuzziness and Soft Computing, ISSN: 1860-0808, Vol: 393, Page: 495-507
2021
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Book Chapter Description

Starting from the premise that Zadeh’s research heritage is irreducible to his 20th Century work, the paper aims to show that his Generalized Theory of Uncertainty is even more influential now, for 21 Century service-oriented engineering, than his papers on fuzzy sets were for the product-based industrial era. To mirror the whole architectonics of Zadeh’s work, the paper highlights the lasting puissance and evolution of 20 Century Zadehian paradigms. On this groundwork, two paradigmatic breakthroughs follow: (a) moving from ‘information is statistical in nature’ to ‘information is a generalized constraint’; (b) setting as target ‘achievement of NL-capability’. Next, two cardinal upshots: reshaping the relation between numbers and words and scaling down the importance of algorithmic paradigms. Both are needed to meet the challenge of modern artificial intelligence: interacting with living systems; emphasis is on model tractability (for efficiency) and on model interpretability (for user acceptance).

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