Conceptual impressions surrounding this post have yet to be substantiated, corroborated, confirmed or woven into a larger argument, context or network. Objective: To generate symbolic links between scientific discovery, design awareness and consciousness.
"Quite clearly, our task is predominantly metaphysical, for it is how to get all of humanity to educate itself swiftly enough to generate spontaneous social behaviors that will avoid extinction." R. Buckminster Fuller
Saturday, January 3, 2026
Design Metaphysics: Categorization and Contextualization (DAC)
Sunday, November 30, 2025
Opinion and Instinct: The Beginning of Embodiment
Conceptual impressions surrounding this post have yet to be substantiated, corroborated, confirmed or woven into a larger argument, context or network. Objective: To generate symbolic links between scientific discovery, design awareness and consciousness.
disposition: temperament, nature, character, constitution, make-up, grain, humor, temper, mentality, inclination, tendency, proneness, propensity, proclivity, leaning, orientation, bias, predilection.
Even though they are distinct, in real cognitive life they interpenetrate each other. Instinct and opinion become joined through three pathways:
1. Instinct as the Ground of Perception and Valence
Instinct gives the mind its initial valence structures in what feels significant, what draws attention and what seem threatening or rewarding. This affects which evidence we notice, which possibilities to consider and which conclusions we favor
2. Instinct sets the motivational and affective field within which opinions form.
3. Opinions as the Conceptualization of Instinct
When instinctual orientations become articulated in concepts, desire, or theories they become opinion.
a) Thought as a Reciprocity Between Two,
b) Cognition is not purely rational.
This circularity is what makes human thought both embodied and rational.
1. Metaphysical Definition of the Instinctual
Metaphysically, instinct remains a foundational principle—a natural, pre conceptual tendency to organize, inherent in all forms of life and information systems, guiding processes before reflective thought. In this sense, “instinctual” refers not only to animal biology but to any self-organizing propensity that precedes explicit reasoning. Philosophers such as Bergson and Whitehead describe this as an immanent drive toward ordered unfolding in nature (Bergson, 1911/1998; Whitehead, 1978).
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Across Disciplines
Design: instinct emerges as embodied cognition—intuitive pattern recognition and tacit knowledge guiding creative action (Polanyi, 1966).
Science: instinct takes the form of heuristics—natural cognitive shortcuts or methodological defaults that scientists rely on pre-reflectively (Kahneman, 2011).
Semiotics: instinct resembles pre-symbolic sign interpretation—the way organisms respond to signs before formal reasoning (Peirce, 1931–1958).
AI: instinct appears as architecture-driven priors—inductive biases embedded in learning systems (Mitchell, 2019).
Philosophy: instinct points to phenomenological givenness—the lived, immediate sense of meaning before analysis (Merleau-Ponty, 2012).
Quantum theory: instinct is analogous to tendency or propensity in probabilistic events, described by Heisenberg as the “potentiality” of matter (Heisenberg, 1958).
Cognitive Science: Instinct is closely tied to neural wiring and cognitive architecture, whereby evolved heuristics guide perception and decision-making unconsciously (Gigerenzer, 2007).
Cybernetics: Instinct is captured in cybernetics as the feedback-driven behavior of systems—self-regulation, adaptation, and goal-directed processes in complex systems (Wiener, 1948).
Across these fields, “instinctual” therefore describes pre-reflective structures or dispositions that guide perception, behavior, inference, or physical becoming.
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2. The Impact of These Instinctual Agencies on Human Consciousness
2.1. Design and Tacit Cognition
2.2. Scientific Heuristics and Epistemic Instincts
• Structuring how we filter information and make decisions under uncertainty (Kahneman, 2011).
• Shaping what counts as "scientific" knowledge by privileging simpler, more immediate explanations.
• Reorganizing consciousness into a pragmatic, problem-solving mode focused on predictive accuracy and efficiency.
Thus science reorganizes human consciousness around predictive and causal cognition.
• Embedding pre-conscious sign systems within symbolic environments by means of our awareness, often as unconscious interpretations (e.g., colors or shapes that evoke emotional responses before rational understanding).
• Accelerating cognitive and shaping perception through cultural codes being processed by embedding communicative symbols and metaphors deeply into human experience (Peirce, 1931–1958).
Human consciousness becomes deeply symbolic, continuously constructing and negotiating meaning.
2.4. AI and Machine-Induced Instinctuality
In AI, the "instinctual" is encoded into systems through pre-programmed priors, biases, and reinforcement learning. These systems can shape human consciousness by means of creating a "synthetic instinct".
• Outsourcing cognition—machines perform instinctual behaviors for us (e.g., recognizing faces or driving a car), altering our awareness of what "thinking" means, thereby embedding priors in neural architectures (Mitchell, 2019).
• Introducing feedback loops between human agency and algorithmic predictions, where through algorithmic tendencies that shape outputs, we become less aware of the underlying assumptions driving decision-making.
• Changing how we perceive agency and intelligence—instinctual processes once considered purely human may now be reproduced by machines, forcing us to question the nature of consciousness by virtue of pre-training representations.
• Re-contextualizing consciousness as a dynamic unfolding process rather than a fixed state by challenging the dualistic conceptions of mind.
• Shifting consciousness away from material determinism and embracing a view of the world as deeply interconnected and uncertain.
• Driving cognitive shortcuts, like categorization and pattern recognition, that enable rapid decisions with minimal cognitive load.
• Structuring problem-solving approaches, often leading to faster, less reflective processing at the cost of accuracy or bias.
• Encouraging us to view human behavior as self-regulating, shaped by recursive feedback loops (Wiener, 1948).
• Reframing consciousness as an adaptive, goal-seeking system that continually adjusts based on input from its environment.
• Making us aware of cybernetic principles in social systems, where behavior is shaped by environmental feedback and mutual influences.
2. Hybridizing human and machine instinct: AI and cybernetics are blurring the lines between human cognitive processes and machine-driven patterns, reshaping what it means to "think" and "know."
3. Deepening reflective awareness: By understanding instinctual processes across domains, humans become more aware of their unconscious biases, patterns, and self-regulatory behaviors.
4. Shifting ontologies: The integration of quantum uncertainty, cognitive feedback, and cybernetic self-regulation forces us to view consciousness as dynamic, relational, and in constant flux, moving away from linear, fixed models of the mind.
- Bergson, H. (1998). Creative evolution (A. Mitchell, Trans.). Dover. (Original work published 1911)
- Gigerenzer, G. (2007). Gut feelings: The intelligence of the unconscious. Viking.
- Heisenberg, W. (1958). Physics and philosophy: The revolution in modern science. Harper.
- Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
- Merleau-Ponty, M. (2012). Phenomenology of perception (D. A. Landes, Trans.). Routledge. (Original work published 1945)
- Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans. Farrar, Straus and Giroux.
- Norman, D. (2013). The design of everyday things (Revised ed.). Basic Books.
- Peirce, C. S. (1931–1958). Collected papers of Charles Sanders Peirce (Volumes 1–8). Harvard University Press.
- Polanyi, M. (1966). The tacit dimension. University of Chicago Press.
- Rovelli, C. (1996). Relational quantum mechanics. International Journal of Theoretical Physics, 35(8), 1637–1678.
- Varela, F., Thompson, E., & Rosch, E. (1991). The embodied mind: Cognitive science and human experience. MIT Press.
-Whitehead, A. N. (1978). Process and reality (Corrected ed.). Free Press.
The author generated some of this text in part with GPT-3, OpenAI’s large-scale language-generation model. Upon generating draft language, the author reviewed, edited, and revised the language to their own liking and takes ultimate responsibility for the content of this publication.
Both cognitively and developmentally instinct acts prior to any form of reasoning and operates before a subject is conceptualized, usually pointing towards certain natural ends. In short: instinct is a non-propositional, dispositional orientation towards certain ends, pre-reflective, given, non-voluntary and not revisable.
OPINION > Reflects on instinct > Modifies or restrains instinct
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Sunday, December 3, 2023
Design's Source
Conceptual impressions surrounding this post have yet to be substantiated, corroborated, confirmed or woven into a larger argument, context or network. Objective: To generate symbolic links between scientific discovery, design awareness and consciousness.
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