The Road to Novelty

Helmuth Blaseio
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The key to answering them is provided by a new category of information content, which we call CoIn. This new category derives from generalised symmetry considerations and complements the familiar Bits & Bytes. As our guiding idea, the CoIn provide the pivotal point of all reflections and results along The Road to Novelty. Using typical problems and providing their solutions, as well as on the basis of theoretical deliberations, we show that the phenomena of meaning, insight and ideas can be integratively traced back to this common informational root CoIn. The concurrence of insight, a new category of information content, idea and meaning thus also explains the interdisciplinary nature of The Road to Novelty. \n \nKnowing about this common informational root in turn enables a new foundation of epistemology, from which far-reaching conclusions may be drawn regarding questions that are central to a number of disciplines within cognitive science, including philosophy, linguistics and the logic of language, information theory together with artificial intelligence (AI), and up to the limits of formal approaches. Finally, the nature of the emergence of insights or ideas – how does such novelty come into the world? – also becomes addressable as what we call symmetry synthesis: The tree of knowledge is rooted in symmetry syntheses. 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Abstract

What characterises a new insight, what distinguishes ideas, when may we speak of inspiration, what induces the formation of new (general) concepts, and how do such concepts assume their contentual meaning? How does such novelty (hence the title, The Road to Novelty) come into the world and what constitutes its essence? How are the phenomena of meaning, insight and idea connected to information? And, as a limitation: What conditions must the nature of recognition and any approach to it meet so that our cognitive capacity is able to answer the preceding questions, i.e. so that it may recognise itself? This set of questions points towards the core topic of epistemology or, more generally, of cognitive science. The cycle The Road to Novelty offers a new and integrative scientific solution to these questions. The key to answering them is provided by a new category of information content, which we call CoIn. This new category derives from generalised symmetry considerations and complements the familiar Bits & Bytes. As our guiding idea, the CoIn provide the pivotal point of all reflections and results along The Road to Novelty. Using typical problems and providing their solutions, as well as on the basis of theoretical deliberations, we show that the phenomena of meaning, insight and ideas can be integratively traced back to this common informational root CoIn. The concurrence of insight, a new category of information content, idea and meaning thus also explains the interdisciplinary nature of The Road to Novelty. Knowing about this common informational root in turn enables a new foundation of epistemology, from which far-reaching conclusions may be drawn regarding questions that are central to a number of disciplines within cognitive science, including philosophy, linguistics and the logic of language, information theory together with artificial intelligence (AI), and up to the limits of formal approaches. Finally, the nature of the emergence of insights or ideas – how does such novelty come into the world? – also becomes addressable as what we call symmetry synthesis: The tree of knowledge is rooted in symmetry syntheses. As a consequence, both the meanings of general language concepts and scientific results such as (physical) laws or models manifest themselves in the form of generalised symmetries (CoIn). Bits & Bytes can likewise be interpreted in the symmetry context, namely as symmetry breaking. They serve the realm of decisions (symmetry breaking), which is complementary to recognition (to symmetry syntheses or to CoIn). As a result, both categories of information content are rooted in the notion of symmetry, yet they in a sense root at opposite ends of the concept. Together, symmetry syntheses and symmetry breaks as it were jointly provide the DNA building blocks for the informational perspective on the world. The fact that the two symmetry perspectives refer to incommensurable aspects of the world means that strong AI (creativity, cognitive faculty) cannot be realised solely by means of Turing machines. The reason is that Turing’s concept of a computer possesses only the competence of symmetry breaking. A proof of this is proposed in Section 7.2 of Part III. To facilitate the discipline-specific access to the material, as well as the analysis of the results, in Parts III, IV and V of The Road to Novelty, we relate the CoIn approach to the history of ideas of the discussions concerning recognition in philosophy and language theory, as well as in computer science / AI, and finally in logic / mathematics. In addition to the propositions already mentioned, the approach opens up many more in-depth insights into each of the sub-disciplines of cognitive science, extending to new aspects with respect to neuroscience and psychology. Last but not least, although economics is not commonly considered a part of cognitive science, this discipline assumes a special role in the argument. The model notions developed in economics enable the identification of a specific type of rationality as an essential characteristic of cognitive processes and the assignment of this rationality to an information-related economic principle.
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新奇之路
什么是新的见解的特征,什么是不同的观念,什么时候我们可以谈论灵感,什么导致了新的(一般的)概念的形成,这些概念是如何获得它们的意旨的?这种新颖性(因此书名为《新颖性之路》)是如何进入这个世界的?它的本质是什么?意义、洞察力和想法的现象是如何与信息联系起来的?并且,作为一种限制:认识的本质和任何认识的方法必须满足什么条件,才能使我们的认知能力能够回答前面的问题,也就是说,使它能够认识自己?这一系列问题指向认识论的核心主题,或者更一般地说,指向认知科学的核心主题。《创新之路》一书为这些问题提供了一个全新的、综合的科学解决方案。回答这些问题的关键是由一种新的信息内容类别提供的,我们称之为CoIn。这个新类别源于广义对称的考虑,是对熟悉的比特和字节的补充。作为我们的指导思想,硬币提供了创新之路上所有思考和结果的枢纽点。通过典型问题及其解决方案,在理论探讨的基础上,我们发现意义现象、洞察力现象和思想现象都可以综合追溯到这一共同的信息根源CoIn。洞察力的并发,一种新的信息内容、思想和意义的类别,也解释了《创新之路》的跨学科性质。了解这种共同的信息根源反过来又可以为认识论奠定新的基础,从中可以得出关于认知科学中许多学科的核心问题的深远结论,包括哲学,语言学和语言逻辑,信息论与人工智能(AI),以及形式方法的限制。最后,见解或想法出现的本质——这些新奇事物是如何进入世界的?——也变成了我们所说的对称综合:知识之树植根于对称综合。因此,无论是一般语言概念的意义,还是(物理)定律或模型等科学结果的意义,都以广义对称性(CoIn)的形式表现出来。比特和字节同样可以在对称上下文中解释,即对称破缺。它们服务于决策领域(对称破坏),这是对识别(对称合成或硬币)的补充。因此,这两类信息内容都根植于对称的概念,但在某种意义上,它们根植于对称概念的两端。在一起,对称合成和对称断裂共同为世界的信息视角提供了DNA的构建块。事实上,这两个对称的视角指的是世界不可通约的方面,这意味着强大的人工智能(创造力、认知能力)不能仅仅通过图灵机来实现。原因是图灵的计算机概念只具有对称破缺的能力。第三部分第7.2节提出了对此的证明。为了便于对《通往新奇之路》第三、第四和第五部分中特定学科的材料的访问以及对结果的分析,我们将硬币方法与哲学和语言理论以及计算机科学/人工智能,最后是逻辑/数学中关于识别的讨论的思想史联系起来。除了已经提到的命题之外,该方法还为认知科学的每个子学科开辟了更深入的见解,扩展到神经科学和心理学的新方面。最后但并非最不重要的是,尽管经济学通常不被认为是认知科学的一部分,但这门学科在争论中扮演着特殊的角色。在经济学中发展的模型概念能够识别特定类型的理性,作为认知过程的基本特征,并将这种理性分配给与信息相关的经济原则。
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