{"title":"Review of The Geometry of Uncertainty by Fabio Cuzzolin","authors":"Erick Galinkin","doi":"10.1145/3544979.3544983","DOIUrl":null,"url":null,"abstract":"The Geometry of Uncertainty is unlike any book on mathematics and computer science I've ever read. It's certainly not a textbook in the traditional sense - there are no exercises, and very little is presented as the \"right way\" to do something. In many ways, The Geometry of Uncertainty is like a survey paper: it critically analyzes decades of research and while some of the author's preferences are reflected, many perspectives are presented with little direct guidance about which approach ought to be favored. People have long used the phrase \"The Bible of X\" to describe the most well-known or well-respected text in a field. However, calling The Geometry of Uncertainty \"The Bible of Evidence Theory\" is truly apt in the sense that you come into the book with questions, and you leave the book with parables, historical insight, and a whole host of new, better informed questions. Truly, the book is not merely an introduction to belief function theory, it is instead a truly comprehensive view of an entire field of study from its conception up to the most bleeding edge research.","PeriodicalId":387985,"journal":{"name":"ACM SIGACT News","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGACT News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3544979.3544983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Geometry of Uncertainty is unlike any book on mathematics and computer science I've ever read. It's certainly not a textbook in the traditional sense - there are no exercises, and very little is presented as the "right way" to do something. In many ways, The Geometry of Uncertainty is like a survey paper: it critically analyzes decades of research and while some of the author's preferences are reflected, many perspectives are presented with little direct guidance about which approach ought to be favored. People have long used the phrase "The Bible of X" to describe the most well-known or well-respected text in a field. However, calling The Geometry of Uncertainty "The Bible of Evidence Theory" is truly apt in the sense that you come into the book with questions, and you leave the book with parables, historical insight, and a whole host of new, better informed questions. Truly, the book is not merely an introduction to belief function theory, it is instead a truly comprehensive view of an entire field of study from its conception up to the most bleeding edge research.
《不确定性几何》不同于我读过的任何一本关于数学和计算机科学的书。它当然不是传统意义上的教科书——没有练习,也很少有“正确的方法”。在许多方面,《不确定性几何》就像一篇调查论文:它批判性地分析了几十年的研究,虽然反映了作者的一些偏好,但许多观点都没有直接指导应该支持哪种方法。长期以来,人们一直用“the Bible of X”这个短语来描述一个领域中最著名或最受尊敬的文本。然而,把《不确定性几何》称为“证据理论的圣经”确实恰如其分,因为你带着问题进入这本书,带着寓言、历史洞察力和一大堆新的、更有见地的问题离开这本书。的确,这本书不仅仅是对信念函数理论的介绍,而是对整个研究领域的真正全面的看法,从它的概念到最前沿的研究。