Featured Review:; Probability Theory: The Logic of Science

IF 8.2 1区 数学 Q1 MATHEMATICS, APPLIED
SIAM Review Pub Date : 2026-05-13 DOI:10.1137/25m1813883
Krešimir Josić, Michael Buice
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引用次数: 0

Abstract

SIAM Review, Volume 68, Issue 2, Page 459-462, June 2026.
Probability Theory: The Logic of Science by E. T. Jaynes is a highly ambitious, unusual, and personal book. Its goal is no less than to lay the foundation for how to reason under uncertainty, not only in science, but generally. Inspired by Polya’s Mathematics and Plausible Reasoning, throughout his career Jaynes pursued a program of understanding the rules of plausible reasoning that would be broadly applicable across domains. Starting not from axioms, but from the “desiderata,” or desirable properties, that one would like to have in a quantitative system of reasoning, Jaynes arrives at the traditional rules of probability theory, namely, the sum and product rules. In so doing, he argues that probability theory is not constrained to any discipline, but constitutes a widely applicable extension of traditional logical systems, wherein statements have truth values that have a quantifiable uncertainty. Jaynes viewed probability theory as a kind of “theory of everything” for reasoning. The book contains an extensive and impressive collection of examples and discussions aimed at underlining this idea and showing the ways in which it aligns or not with traditional views.
评论:;概率论:科学的逻辑
SIAM评论,第68卷,第2期,第459-462页,2026年6月。简斯的《概率论:科学的逻辑》是一本雄心勃勃、与众不同的个人著作。它的目标不亚于为如何在不确定性下进行推理奠定基础,不仅在科学领域,而且在一般领域。受到波利亚的《数学与似是而非的推理》一书的启发,在他的整个职业生涯中,詹尼斯一直致力于研究可广泛应用于各个领域的似是而非的推理规则。Jaynes不是从公理出发,而是从人们希望在定量推理系统中拥有的“理想属性”出发,得出了概率论的传统规则,即求和和乘积规则。在这样做的过程中,他认为概率论不受任何学科的约束,而是构成了传统逻辑系统的广泛适用的扩展,其中陈述具有具有可量化不确定性的真值。杰恩斯认为概率论是一种用于推理的“万物理论”。这本书包含了一个广泛的和令人印象深刻的收集的例子和讨论,旨在强调这一想法,并显示在它与传统观点对齐或不一致的方式。
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来源期刊
SIAM Review
SIAM Review 数学-应用数学
CiteScore
16.90
自引率
0.00%
发文量
50
期刊介绍: Survey and Review feature papers that provide an integrative and current viewpoint on important topics in applied or computational mathematics and scientific computing. These papers aim to offer a comprehensive perspective on the subject matter. Research Spotlights publish concise research papers in applied and computational mathematics that are of interest to a wide range of readers in SIAM Review. The papers in this section present innovative ideas that are clearly explained and motivated. They stand out from regular publications in specific SIAM journals due to their accessibility and potential for widespread and long-lasting influence.
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