Theoretical Unification of the Fractured Aspects of Information

Marcin J. Schroeder
Computer Science, Artificial Intelligence, Artificial Intelligence (cs.AI)
2024-02-26 00:00:00
The article has as its main objective the identification of fundamental epistemological obstacles in the study of information related to unnecessary methodological assumptions and the demystification of popular beliefs in the fundamental divisions of the aspects of information that can be understood as Bachelardian rupture of epistemological obstacles. These general considerations are preceded by an overview of the motivations for the study of information and the role of the concept of information in the conceptualization of intelligence, complexity, and consciousness justifying the need for a sufficiently general perspective in the study of information, and are followed at the end of the article by a brief exposition of an example of a possible application in the development of the unified theory of information free from unnecessary divisions and claims of superiority of the existing preferences in methodology. The reference to Gaston Bachelard and his ideas of epistemological obstacles and epistemological ruptures seems highly appropriate for the reflection on the development of information study, in particular in the context of obstacles such as the absence of semantics of information, negligence of its structural analysis, separation of its digital and analog forms, and misguided use of mathematics.
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