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On the Recognition of Phenomena, using Empirical Correlations

White, Apliit (2023) On the Recognition of Phenomena, using Empirical Correlations. [Preprint]

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We live in the midst of many recognitions every day. We know that there are various phenomena around us and we understand what they are. These actions are performed both unconsciously and consciously, and are essential to human beings.
 In this paper, the main theme is the recognition of phenomena. Recognition is not merely to know it, but to understand it. Therefore, recognition of a phenomenon does not mean knowing that the phenomenon exists in and of itself, but also thinking about the factors that cause the phenomenon to exist.
 In considering the recognition of phenomena, we use the concept of "empirical correlation," as mentioned in the title. This is an expression of experience in the form of "correlation between human beings and various phenomena" in order to clarify the concept of "experience" in general. The empirical correlation is a correlation that has two major domains: "transferable experience" and "intrinsic experience.
 In addition, this empirical correlation is used to explain phenomena, which are divided into several stages. In order, they are the first, second, and third phenomena. In this division, I have based my own definition of the phenomena, but have additionally defined their components based on the idea of empirical correlations, and have built upon them.
 Ultimately, I completed the process of constructing the phenomena by describing each of the phenomenal stages as a series of processes of constructing the phenomena, and then describing a new process called "skepticism" as a concomitant part of the process.
 How do we perceive phenomena? By no means is the object we see now what it originally was, nor is it what is now fixed. It is within this correlative phenomenological composition that we relate to various phenomena and carry out various transformations. I hope you will take these ideas from this paper and understand them.

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Item Type: Preprint
Keywords: Recognition, Phenomenon
Subjects: Specific Sciences > Cognitive Science
Depositing User: Mr. Apliit White
Date Deposited: 21 Feb 2023 19:01
Last Modified: 21 Feb 2023 19:01
Item ID: 21782
Subjects: Specific Sciences > Cognitive Science
Date: 21 February 2023

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