Uncertainty and Time in Modern Artificial Intelligence
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BĂRBAT, Boldur-Eugen, FILIP, Florin Gheorghe. Uncertainty and Time in Modern Artificial Intelligence. In: Microelectronics and Computer Science, Ed. 9, 19-21 octombrie 2017, Chisinau. Chișinău, Republica Moldova: Universitatea Tehnică a Moldovei, 2017, Ediția 9, pp. 217-220. ISBN 978-9975-4264-8-0.
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Microelectronics and Computer Science
Ediția 9, 2017
Conferința "Microelectronics and Computer Science"
9, Chisinau, Moldova, 19-21 octombrie 2017

Uncertainty and Time in Modern Artificial Intelligence

Pag. 217-220

Bărbat Boldur-Eugen, Filip Florin Gheorghe
 
Romanian Academy of Science
 
 
Disponibil în IBN: 27 octombrie 2017


Rezumat

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 ProofofConcept example describing a model for homeostasis with hysteretic delay is given in a related paper.)

Cuvinte-cheie
decision support systems (DSS),

Generalized Theory of Uncertainty (GTU), natural language (NL)-capability, large-scale living systems (LS2), Wienerian time