Conditions for the Emergence of Conscious Regimes: An Internal Informational Architecture Perspective

This article explores the conditions under which coherent dynamic regimes can emerge within complex systems. Rather than treating consciousness as a substance or localized property, the paper adopts an epistemological perspective centered on internal informational architecture. Contemporary debates in artificial intelligence and cognitive science often focus on scaling, computational power, or signal complexity. This work argues that such external parameters are insufficient to account for the emergence of coherent regimes. What matters is not the quantity of processing, but the internal organization through which information is integrated, regulated, and stabilized over time. The paper develops a distinction between energy, signal, and information, emphasizing the relational and interpretative nature of information within structured systems. It introduces the notion of internal informational architecture as the set of constraints, regulatory mechanisms, and coherence conditions that shape how information becomes meaningful inside a system. From this perspective, consciousness is approached not as an ontological entity, but as a dynamic regime emerging under specific organizational conditions. These conditions include internal coherence, integration across levels, auto-referential regulation, and the capacity for structural reconfiguration. By reframing the problem at the level of internal organization, the article contributes to broader discussions in complex systems theory, information theory, and artificial intelligence. It situates questions of emergence and coherence upstream of implementation details, offering a structural lens applicable across biological, artificial, and collective systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-22
DOI
https://doi.org/10.5281/zenodo.18731753
Primary Topic
Embodied and Extended Cognition
Type
article
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article

Conditions for the Emergence of Conscious Regimes: An Internal Informational Architecture Perspective

PAMELA AMANDINE MAGOTTE
Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Conditions for the Emergence of Conscious Regimes: An Internal Informational Architecture Perspective

PAMELA AMANDINE MAGOTTE
article en

Abstract

This article explores the conditions under which coherent dynamic regimes can emerge within complex systems. Rather than treating consciousness as a substance or localized property, the paper adopts an epistemological perspective centered on internal informational architecture. Contemporary debates in artificial intelligence and cognitive science often focus on scaling, computational power, or signal complexity. This work argues that such external parameters are insufficient to account for the emergence of coherent regimes. What matters is not the quantity of processing, but the internal organization through which information is integrated, regulated, and stabilized over time. The paper develops a distinction between energy, signal, and information, emphasizing the relational and interpretative nature of information within structured systems. It introduces the notion of internal informational architecture as the set of constraints, regulatory mechanisms, and coherence conditions that shape how information becomes meaningful inside a system. From this perspective, consciousness is approached not as an ontological entity, but as a dynamic regime emerging under specific organizational conditions. These conditions include internal coherence, integration across levels, auto-referential regulation, and the capacity for structural reconfiguration. By reframing the problem at the level of internal organization, the article contributes to broader discussions in complex systems theory, information theory, and artificial intelligence. It situates questions of emergence and coherence upstream of implementation details, offering a structural lens applicable across biological, artificial, and collective systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 49%
Embodied and Extended Cognition
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