A Lower Bound for Optimization of Arbitrary Function on Permutations

Yakovlev, Sergiy; Pichugina, Oksana; Koliechkina, Liudmyla

doi:10.1007/978-3-030-54215-3_13

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…Estimates, on the basis of which the decision options are made, come from external sources, are generated by the decision support systems themselves, or are provided by experts. The basis of the analytical blocks of modern decision support systems, as a rule, form models and methods of intelligent data analysis, with the help of which the analysis of data sets is performed [12,13]. Among the most common methods of this type are neural network methods [14][15][16], prediction methods [17][18][19][20][21], and data clustering methods [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Collaborative Human-AI Decision-Making Systems with Numerical Channels

Oksana

Kotsipak²,

Dolgikh

et al. 2022

2022 12th International Conference on Advanced Computer Information Technologies (ACIT)

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This work is devoted to the study of the features of functioning in Collaborative Human-AI Decision-MakingSystems with numerical channels. The system operates in automatic mode without external influences. The channels can be both artificial intelligence software and competent experts giving conclusions on the question under study. The cases considered are those in which an agreed solution must be numerical and logical. For each of these cases, decision rules for the system have been developed. The developed rules include the ability to take into account the reliability of the channels, which allows expanding their number in the system if necessary.

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