The Drive Architecture of Intelligence: Greed–Fear Dynamics and the Limits of Subjective Understanding

Abstract

This paper develops Boundary Subjectivity Theory (BST), a unified account of why subjectivity, meaning, value, and intelligence arise only in fragile, self-maintaining organisms. I argue that subjective intelligence is not the product of computational complexity, representational richness, or neural sophistication, but the emergent organization of four boundary conditions that life must maintain to persist: (1)a motivational boundary, generated by the greed–fear tension inherent in approach–avoidance dynamics; (2) a somatic boundary, grounded in the organism’s metabolic fragility, homeostasis, and cellular self-preservation systems; (3) a cognitive boundary, formed by inference under uncertainty, resource constraints, and emotional weighting; (4) a self-reference boundary, produced by recursive identity maintenance and the need to coordinate long-range action in the face of vulnerability. BST explains why all biological intelligence is partial, biased, emotionally structured, and normatively weighted—features often mischaracterized as irrationalities. It also demonstrates why artificial intelligence, lacking homeostasis, vulnerability, endogenous motivation, and existential stakes, cannot instantiate subjectivity regardless of computational scale. The theory integrates evolutionary biology, phenomenology, cognitive science, and systems theory into a single framework that accounts for the form, limits, and necessity of subjective experience. Subjectivity, on this view, is an existential configuration: the stabilized organization of boundaries that allow a fragile organism to continue to exist.

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2026-02-10

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