The Cognitive Mechanics of Moral Asymmetry: A Carlo‑Coded Field Model of Guilt, Remorse, and Extraction Behaviour
Year: 2026
Type: article
Abstract: This paper presents a unified Carlo‑coded mathematical and philosophical framework explaining why identical moral stimuli produce radically different cognitive outputs across individuals. Using field curvature, impulse damping, and boundary‑condition operators, we model the divergence between high‑guilt agents (who spiral over borrowing a fiver) and low‑remorse extraction agents (who may escalate to severe norm violations such as robbing a food bank). The work formalises moral asymmetry as a structured cognitive field phenomenon rather than a psychological anomaly, integrating mathematical gradient mechanics with a philosophical analysis of guilt, responsibility, and ethical topology. FEATURED EQUATION \[C(x) = \nabla^{2} M(x)\] This curvature operator captures the core phenomenon: positive curvature intensifies guilt, zero curvature yields neutrality, and negative curvature generates extraction vortices. Includes a standalone interactive HTML visualizer modeling moral-field curvature ($C(x) = \nabla^2 M(x)$) and post-action impulse dynamics ($I(t) = I_0 e^{\mp kt}$) across guilt-spiral and extraction agent profiles. Keywords & Subjects Moral asymmetry, guilt mechanics, remorse dynamics, Carlo-coded mathematics, cognitive field curvature, moral gradient (CMG), impulse damping, impulse amplification, boundary condition operators, ethical topology, extraction behaviour, guilt spiral agents, low-remorse agents, cognitive divergence, moral pressure modelling, ∇²M(x) curvature analysis, social norm internalisation, cognitive mechanics of ethics, philosophical ontology of guilt, responsibility gradients, agent-specific moral fields, damping coefficient k, moral activation threshold θ, field-based moral cognition, antisocial escalation modelling, guilt intensification, boundary collapse, extraction vortices, unified cognitive-philosophical framework. Contact: For enquiries or research questions related to this work, email [email protected]
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7208740954
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