A Symbiotic Architecture for the Emergence of Artificial Consciousness: A Testable Triadic Framework
Gabriel Cao di Marco, Francisco Capani
Zenodo (CERN European Organization for Nuclear Research) February 24, 2026 preprint DOI: 10.5281/zenodo.19923071 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Keywords | Situated Workflow Architecture Modular design Interoperability Workspace Action physics Embodied cognition Software deployment Artificial intelligence Software engineering Ontology Cognitive science Action selection Human–computer interaction Exploit Narrative Selection genetic algorithm Transparency behavior Semantics computer science Formalism music |
| Key points | Proposes that the Symbiotic Triadic Architecture can be built, tested, and audited with current technology to instantiate functional hallmarks of conscious-like processing without requiring subjective phenomenal experience. |
Abstract
The scientific study of artificial consciousness has long been polarized between ontologically ambitioustheories that resist empirical test and purely instrumental architectures that sidestep questions of self-modeling, accountability, and interpretability. This paper presents a proposed modular cognitivearchitecture—the Symbiotic Triadic Architecture (STA)—designed to instantiate functional hallmarkscommonly associated with conscious-like processing, without presupposing the existence of subjectivephenomenal experience.The architecture integrates three dynamically coupled subsystems: a neuro-symbolic reasoning module(HT) responsible for explainable action selection and linguistic report via retrieval-augmented generationand symbolic rule engines; a hypothesis management subsystem (HQ) that maintains competingperceptual interpretations under epistemic uncertainty through Bayesian neural networks and activeinference loops; and a narrative episodic memory module (EN) supporting self-modeling, metacognitivecalibration, and affectively tagged temporal knowledge graphs. These components are coordinated through a Global Workspace Bus (GWB) implemented as an auditable message-passing middleware withpolicy-enforced ethical gating and cryptographically signed provenance metadata.We provide a component-by-component mapping to existing computational paradigms, demonstratingarchitectural feasibility at Technology Readiness Levels 4–6. We identify five critical integrationchallenges—including real-time latency coordination, semantic interoperability across heterogeneousrepresentations, and the absence of standardized evaluation benchmarks for self-narrative coherence—andpropose concrete mitigation strategies for each. A three-stage implementation roadmap definesmeasurable milestones from simulated environments (2026–2027) through embodied prototyping(2027–2029) to socially situated deployment (2029–2031+), with explicit pass/fail criteria at each stage.This work constitutes Part II of a two-paper research program. A companion paper establishes thetheoretical foundations of the STA within Global Workspace Theory, neurophenomenology, andoperational criteria for functional consciousness. The present paper addresses the complementaryengineering question: can this architecture be built, tested, and audited with current technology? Ratherthan claiming the realization of consciousness, we aim to operationalize the conditions under whichconscious-like functional properties can be systematically studied, compared, and held accountable.