A Deflationary Account of Information in Terms of Probability.

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2025-05-11 DOI:10.3390/e27050514
Riccardo Manzotti
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引用次数: 0

Abstract

In this paper, I argue that information is nothing more than an abstract object; therefore, it does not exist fundamentally. It is neither a concrete physical entity nor a form of "stuff" that "flows" through communication channels or that is "carried" by vehicles or that is stored in memories, messages, books, or brains-these are misleading metaphors. To support this thesis, I adopt three different approaches. First, I present a series of concrete cases that challenge our commonsensical belief that information is a real entity. Second, I apply Eleaticism (the principle that entities lacking causal efficacy do not exist). Finally, I provide a mathematical derivation showing that information reduces to probability and is therefore unnecessary both ontologically and epistemically. In conclusion, I maintain that information is a causally redundant epistemic construct that does not exist fundamentally, regardless of its remarkable epistemic convenience. What, then, is information? It is merely a very efficient way of describing reality-a manner of speaking, nothing more.

从概率的角度对信息进行通货紧缩的描述。
在本文中,我认为信息只不过是一个抽象的对象;因此,它根本不存在。它既不是一个具体的物理实体,也不是一种通过交流渠道“流动”的“东西”形式,也不是由交通工具“携带”的形式,也不是存储在记忆、信息、书籍或大脑中的形式——这些都是误导人的隐喻。为了支持这一论点,我采用了三种不同的方法。首先,我提出了一系列具体的案例来挑战我们的常识,即信息是一个真实的实体。其次,我采用艾略特主义(缺乏因果效力的实体不存在的原则)。最后,我提供了一个数学推导,表明信息减少到概率,因此在本体论和认识论上都是不必要的。总之,我认为信息是一种因果冗余的认知结构,它根本不存在,尽管它具有显著的认知便利性。那么,什么是信息呢?它仅仅是描述现实的一种非常有效的方式——一种说话的方式,仅此而已。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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