Modeling changes of opinions as transition probabilities within one- and two-level model "State-Probability of Action"

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dc.contributor.authorOletsky, Oleksiyen_US
dc.contributor.authorPeleshko, Dmytroen_US
dc.contributor.authorMoholivskyi, Vitaliien_US
dc.date.accessioned2025-12-02T11:21:45Z
dc.date.available2025-12-02T11:21:45Z
dc.date.issued2025
dc.description.abstractApproaches to modeling and simulating processes related to elections and changing voters’ opinions in bipartisan democracies on the basis of Markov chains are discussed. The basic approach suggested by the “state-probability of action” model (SPA model) is combined with ideas featured by pairwise comparisons and the Analytic Hierarchy Process. The one-level SPA model, focusing on election results, and the twolevel model regarding criteria which affect decisions are considered. Some modifications of traditional homogenous Markov chains, such as switching roles or random transition probabilities, are explored. Some approaches to using non-homogenous Markov chains are outlined.en_US
dc.identifier.citationOletsky O. Modeling changes of opinions as transition probabilities within one- and two-level model "State-Probability of Action" / Oleksiy Oletsky, Dmytro Peleshko, Vitalii Moholivskyi // MoMLeT-2025: 7th International Workshop on Modern Machine Learning Technologies, June, 14, 2025, Lviv-Shatsk, Ukraine. - [S. l. : s. n.], 2025. - Р. 1-10.en_US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/37766
dc.language.isoen_USen_US
dc.relation.sourceMoMLeT-2025: 7th International Workshop on Modern Machine Learning Technologiesen_US
dc.statusfirst publisheden_US
dc.subjectMarkov chainsen_US
dc.subjectswitching rolesen_US
dc.subject"state-probability of action" modelen_US
dc.subjectpairwise comparisonsen_US
dc.subjectAnalytic Hierarchy Processen_US
dc.subjectmaking decisionsen_US
dc.subjectelectionsen_US
dc.subjectconference materialsen_US
dc.titleModeling changes of opinions as transition probabilities within one- and two-level model "State-Probability of Action"en_US
dc.typeConference materialsen_US
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