Prescriptive Inductive Operations On Probabilities Serving to Decision-Making Agents

0537685 - ÚTIA 2023 RIV US eng J - Článek v odborném periodiku
Kárný, Miroslav
Prescriptive Inductive Operations On Probabilities Serving to Decision-Making Agents.
IEEE Transactions on Systems Man Cybernetics-Systems. Roč. 52, č. 4 (2022), s. 2110-2120. ISSN 2168-2216. E-ISSN 2168-2232
Grant CEP: GA MŠMT(CZ) LTC18075
Institucionální podpora: RVO:67985556
Klíčová slova: dynamic decsion making * uncertainty * relative entropy * approximation * merging * extension
Obor OECD: Automation and control systems
Impakt faktor: 8.7, rok: 2022
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2021/AS/karny-0537685.pdf https://ieeexplore.ieee.org/document/9324930

Approximation, extension and merging of probability distributions support inductive reasoning. They serve to modelling, knowledge and preference elicitation as well as to a soft cooperation within various decision-making (DM) scenarios. The theory dubbed as fully probabilistic design of DM strategies unifies the design of these operations on distributions. The unification decreases a danger of their improper choice and use. Still there is an uncertainty how the gained tools should be wielded. The paper diminishes it by spelling out conditions ruling their exploitation. The paper serves as an updated description of these tools, provides examples of their use and guides their tailoring to diverse scenarios.
Trvalý link: http://hdl.handle.net/11104/0316068