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Książka = Book ; KS/9/2011/T1P14
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
[1-4], 159-173 pages ; 21 cm ; Bibliography p. 173
Human intelligence is able to solve problems with high amount of uncertainty. Also artificial intelligence tries to solve similar problems. Towards realizing this aim it uses probability theory (PrTh), fuzzy set theory, possibility theory, Dempster-Shafer theory, info-gap theory, etc. PrTh as the oldest one (XVII century) seems to be a ripe and well grounded scientific method. However, according to many opinions, it is not true. In this paper the author shows that the basic and commonly used formula for calculation probability of an event A, p(A) = nA/n, is both qualitatively and quantitatively rather incorrect. This formula was suggested by the frequency interpretation of probability. Furthermore, the author presents the evidential completeness interpretation of probability that seems better suited to describe uncertainty. This interpretation explains why in most cases probability cannot be determined precisely and that only an uncertainty interval of probability can be found.
Creative Commons Attribution BY 4.0 license
Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Systems Research Institute of the Polish Academy of Sciences
Library of Systems Research Institute PAS
Oct 15, 2021
Aug 25, 2021
36
https://rcin.org.pl./publication/243643
Landowski, Marek Piegat, Andrzej