The common use of Shannon’s information, specified for the needs of telecommunications, gives rise to many misunderstandings outside of this context. (e.g. in conceptions of such well-known theorists as C.F. Weizsäcker and J. A. Wheeler). This article shows that the terms of the general definition of information meet the structural information, and Shannon’s information is a special case of it. Similarly, complexity is misunderstood today as exemplified by the concepts of reputable computer scientists, such as S. Lloyd, S. Wolfram and J. Schmidhuber. These theorists use an algorithmic definition of complexity and the so-called logical depth, neither of which meets the intuitive criterion of complexity. Hence, their misconceptions of beauty, art and the universe. It will be shown that the intuitive criterion is met by Abstract Complexity Definition. This definition also fulfils the criterion for a general complexity definition, as it defines complexity of the most general/abstract structure of our reality, that is, binary structure. It also explains such fundamental issues of information theory as the information–energy relationship and the value of information, which are still discussed and need to be clarified.

中文翻译：

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著名科学家的错误概念：CF Weizsäcker、JA Wheeler、S. Wolfram、S. Lloyd、J. Schmidhuber 和 M. Vopson，源于对信息和复杂性的误解

香农信息的普遍使用是为了电信的需要而指定的，这引起了许多在此背景之外的误解。（例如 CF Weizsäcker 和 JA Wheeler 等著名理论家的概念）。本文表明，信息一般定义的术语符合结构信息，香农信息是其特例。同样，当今复杂性也被误解，著名计算机科学家（例如 S. Lloyd、S. Wolfram 和 J. Schmidhuber）的概念就是例证。这些理论家使用复杂性的算法定义和所谓的逻辑深度，这两者都不符合复杂性的直观标准。因此，他们对美、艺术和宇宙产生了误解。将表明抽象复杂性定义满足直观标准。这个定义也满足一般复杂性定义的标准，因为它定义了我们现实中最一般/抽象结构（即二元结构）的复杂性。它还解释了信息与能量关系、信息价值等信息论的基本问题，这些问题仍然在讨论和需要澄清。