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Color-Coded Epistemic Modes in a Jungian Hexagon of Opposition

Stern, Julio Michael (2022) Color-Coded Epistemic Modes in a Jungian Hexagon of Opposition. [Preprint]

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Abstract

This article considers distinct ways of understanding the world, referred to in psychology as functions of consciousness or as cognitive modes, having as the scope of interest epistemology and natural sciences. Inspired by C.G. Jung’s simile of the spectrum, we consider three basic cognitive modes associated to: (R) embodied instinct, experience, and action; (G) reality perception and learning; and (B) concept abstraction, rational thinking, and language. RGB stand for the primary colors: red, green, and blue. Accordingly, a conceptual map between cognitive modes and primary and secondary colors is built based on the physics and physiology of color perception and epistemological characteristics of the aforementioned cognitive modes, leading to logical relations structured as an hexagon of opposition. Finally, this model of cognitive modes is applied to the analysis and interpretation of some important episodes in the historical development of physics and technology.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Stern, Julio Michael0000-0003-2720-3871
Additional Information: This preprint is an updated and corrected Version (1.1) of the previously published Version (1.0).
Keywords: Epistemology; Cognitive modes; Compositional and oppositional structures; Jung’s simile of the spectrum; History and philosophy of physics.
Subjects: General Issues > Scientific Metaphysics
General Issues > Confirmation/Induction
General Issues > Explanation
General Issues > Laws of Nature
General Issues > Realism/Anti-realism
General Issues > Technology
Depositing User: Prof. Julio Michael Stern
Date Deposited: 28 Mar 2023 23:18
Last Modified: 28 Mar 2023 23:18
Item ID: 21935
Journal or Publication Title: The Exoteric Square of Opposition.
Publisher: Birkhaeuser,
Subjects: General Issues > Scientific Metaphysics
General Issues > Confirmation/Induction
General Issues > Explanation
General Issues > Laws of Nature
General Issues > Realism/Anti-realism
General Issues > Technology
Date: 2022
Page Range: pp. 303-332
ISSN: 2297-0282
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/21935

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