Belief Based on Inconsistent Information

0534300 - ÚI 2021 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Bílková, Marta - Frittella, S. - Majer, Ondrej - Nazari, S.
Belief Based on Inconsistent Information.
Dynamic Logic: New Trends and Applications. Cham: Springer, 2020 - (Martins, M.; Sedlár, I.), s. 68-86. Lecture Notes in Computer Science, 12569. ISBN 978-3-030-65839-7. ISSN 0302-9743.
[DaLí International Workshop /3./. Prague / Online (CZ), 09.10.2020-10.10.2020]
Grant CEP: GA ČR GA17-04630S; GA ČR(CZ) GA16-15621S
Institucionální podpora: RVO:67985807 ; RVO:67985955
Klíčová slova: Epistemic logics * Non-standard probabilities * Belnap-Dunn logic * Two-layer modal logic
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Philosophy, History and Philosophy of science and technology (FLU-F)

A recent line of research has developed around logics of belief based on evidence [4, 6]. The approach of [6] understands belief as based on information confirmed by a reliable source. We propose a finer analysis of how belief can be based on information, where the confirmation comes from multiple possibly conflicting sources and is of a probabilistic nature. We use Belnap-Dunn logic and its probabilistic extensions to account for potentially contradictory information on which belief is grounded. We combine it with an extension of Łukasiewicz logic, or a bilattice logic, within a two-layer modal logical framework to account for belief.
Trvalý link: http://hdl.handle.net/11104/0312523