Uncertainty and Time in Modern Artificial Intelligence

BĂRBAT, Boldur-Eugen; FILIP, Florin Gheorghe

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dc.contributor.author	BĂRBAT, Boldur-Eugen
dc.contributor.author	FILIP, Florin Gheorghe
dc.date.accessioned	2020-12-07T15:35:49Z
dc.date.available	2020-12-07T15:35:49Z
dc.date.issued	2017
dc.identifier.citation	BĂRBAT, Boldur-Eugen, FILIP, Florin Gheorghe. Uncertainty and Time in Modern Artificial Intelligence. In: Microelectronics and Computer Science: proc. of the 9th intern. conf., October 19-21, 2017. Chişinău, 2017, pp. 217-220. ISBN 978-9975-4264-8-0.	en_US
dc.identifier.isbn	978-9975-4264-8-0
dc.identifier.uri	http://repository.utm.md/handle/5014/11942
dc.description.abstract	After finding out the main reason for decision-makers distrust in computer support (low model interpretability due to low NL- capability), the paper outlines the shift towards semiotic-oriented software proposing Cybernetic Modelling, a modelling sub-species aimed at enhancing large- scale living systems model efficiency and user acceptance. Uncertainty due to future events is treated via third IF value (“Undecidable in the time span given”) avoiding probabilities. Time extension allows distinct temporal dimensions. (A Proof-of-Concept example describing a model for homeostasis with hysteretic delay is given in a related paper.)	en_US
dc.language.iso	en	en_US
dc.publisher	Technical University of Moldova	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	decision support systems	en_US
dc.subject	Generalized Theory of Uncertainty (GTU)	en_US
dc.subject	natural language (NL)-capability	en_US
dc.subject	large-scale living systems (LS2)	en_US
dc.subject	Wienerian time	en_US
dc.title	Uncertainty and Time in Modern Artificial Intelligence	en_US
dc.type	Article	en_US