Logical perspectives on the foundations of probability

Abstract: We illustrate how a variety of logical methods and techniques provide useful, though currently underappreciated, tools in the foundations and applications of reasoning under uncertainty. The field is vast spanning logic, artificial intelligence, statistics, and decision theory. Rather than (hopelessly) attempting a comprehensive survey, we focus on a handful of telling examples. While most of our attention will be devoted to frameworks in which uncertainty is quantified probabilistically, we will also touch upon generalisations of probability measures of uncertainty, which have attracted a significant interest in the past few decades.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Logical perspectives on the foundations of probability ; volume:21 ; number:1 ; year:2023 ; extent:23 ; Open mathematics ; 21, Heft 1 (2023) (gesamt 23)

Contributors, Places and Time

• Creator: Hosni, Hykel ; Landes, Jürgen

Further information

• DOI: 10.1515/math-2022-0598
• URN: urn:nbn:de:101:1-2023061914074370973163
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:50 AM CEST