Facebook Instagram Twitter RSS Feed PodBean Back to top on side

Łukasiewicz logic and the divisible extension of probability theory

In: Tatra Mountains Mathematical Publications, vol. 78, no. 1
Roman Frič

Details:

Year, pages: 2021, 119 - 128
Language: eng
Keywords:
divisible extension of probability theory, Boolean logic, random variable, observable, statistical map, stochastic channel, Łukasiewicz logic, full Łukasiewicz tribe, conservative observable.
Article type: Mathematics
Document type: scientific paper
About article:
We show that measurable fuzzy sets carrying the multivalued Łukasiewicz logic lead to a natural generalization of the classical Kolmogorovian probability theory. The transition from Boolean logic to Łkasiewicz logic has a categorical background and the resulting divisible probability theory possesses both fuzzy and quantum qualities. Observables of the divisible probability theory play an analogous role as classical random variables: to convey stochastic information from one system to another one. Observables preserving the Łukasiewicz logic are called conservative and characterize the “classical core” of divisible probability theory. They send crisp random events to crisp random events and Dirac probability measures to Dirac probability measures. The nonconservative observables send some crisp random events to genuine fuzzy events and some Dirac probability measures to nondegenerated probability measures. They constitute the added value of transition from classical to divisible probability theory.
How to cite:
ISO 690:
Frič, R. 2021. Łukasiewicz logic and the divisible extension of probability theory. In Tatra Mountains Mathematical Publications, vol. 78, no.1, pp. 119-128. 1210-3195. DOI: https://doi.org/10.2478/tmmp-2021-0008

APA:
Frič, R. (2021). Łukasiewicz logic and the divisible extension of probability theory. Tatra Mountains Mathematical Publications, 78(1), 119-128. 1210-3195. DOI: https://doi.org/10.2478/tmmp-2021-0008
About edition:
Publisher: Mathematical Institute, Slovak Academy of Sciences, Bratislava
Published: 14. 10. 2021
Rights:
https://creativecommons.org/licenses/by-nc-nd/4.0/