| 书目名称 | The Geometry of Uncertainty | | 副标题 | The Geometry of Impr | | 编辑 | Fabio Cuzzolin | | 视频video | | | 概述 | Introduce an original view of belief calculus and uncertainty theory.Suitable for researchers in artificial intelligence, statistics, and applied science engaged with theories of uncertainty.Supported | | 丛书名称 | Artificial Intelligence: Foundations, Theory, and Algorithms | | 图书封面 |  | | 描述 | .The principal aim of this book is to introduce to the widest possible audience an original view of belief calculus and uncertainty theory. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated in that space, for example, combined or conditioned. .In the chapters in Part I, Theories of Uncertainty, the author offers an extensive recapitulation of the state of the art in the mathematics of uncertainty. This part of the book contains the most comprehensive summary to date of the whole of belief theory, with Chap. 4 outlining for the first time, and in a logical order, all the steps of the reasoning chain associated with modelling uncertainty using belief functions, in an attempt to provide a self-contained manual for the working scientist. In addition, the book proposes in Chap. 5 what is possibly the most detailed compendium available of all theories of uncertainty. Part II, The Geometry of Uncertainty, is the core of this book, as it introduces the author’s own geometric approach to uncertainty theory, starting with the geometry of belief functions: Chap. 7 studies the geometry of the space of be | | 出版日期 | Book 2021 | | 关键词 | Dempster-Shafer Theory; Uncertainty Theory; Belief Functions; Probabilty Theory; k-additive Belief Funct | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-63153-6 | | isbn_softcover | 978-3-030-63155-0 | | isbn_ebook | 978-3-030-63153-6Series ISSN 2365-3051 Series E-ISSN 2365-306X | | issn_series | 2365-3051 | | copyright | Springer Nature Switzerland AG 2021 |
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发表于 2025-3-21 18:42:15
