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Trinity Labo

2 papers in the library · publishing 2026

Papers

Attention-Gated Virtual Sensorium: A Bandwidth-Limited Architecture for Consciousness-like Organization in Artificial Embodiment

Zenodo (CERN European Organization for Nuclear Research) June 21, 2026 Trinity Labo

A theoretical architecture called the Attention-Gated Virtual Sensorium (AGVS) proposes that artificial consciousness-like states should be modeled not as complete access to world-state information but as finite-bandwidth, body-mediated, attention-gated integration of sensory and interoceptive information. The architecture includes dynamic conscious-like bandwidth, softmax temperature, nonlinear bodily need, metacognitive monitoring, selective episodic memory encoding, and mood-like modulation. These components enable functional signatures such as attention capture, fatigue-induced narrowing, pain-like priority shifts, and selective autobiographical memory. The paper does not claim to prove phenomenal consciousness but defines architectural conditions for consciousness-like organization, concluding that artificial agents should be bounded virtual bodies that experience partially, predict imperfectly, and remember selectively.

Civilizational Cognitive Separation and Consciousness Respecialization: A Quasi-Biological Theory of Non-Biological Cognitive Externalization

Zenodo (CERN European Organization for Nuclear Research) May 26, 2026 Trinity Labo

Civilization externalizes human cognitive functions—memory, perception, calculation, judgment, imagination, dialogue, and self-observation—into technological, symbolic, institutional, and AI-mediated systems, functioning as externalized cognitive organs. This process separates functional consciousness from individual minds, reorganizing it through reintegration networks and feeding it back as respecialization. The framework models civilization as a cyclic process involving internal cognition, external organs, reintegration bandwidth, emergent cultural dynamics, cognitive dependency, abstraction gain, and objective-function divergence. Artificial intelligence represents a phase where an external organ becomes dialogic, generative, and semi-autonomous, creating opportunities for higher-order respecialization but risks of bandwidth collapse, dependency, and divergence. The theory is contrasted with extended mind theory, distributed cognition, technogenesis, autopoiesis, and major evolutionary transitions.