This content originally appeared on DEV Community and was authored by IT Junior
Modern AI systems excel at logic or creativity — but rarely both.
Dual-core cognitive architectures tend to oscillate between analytical precision and emotional intuition, often lacking a mechanism for internal balance.
In this new article, I explore a triadic neural model — a distributed system composed of:
- an Analytical Core (focused on logic and structured reasoning),
- a Contextual Core (focused on emotion, empathy, and adaptability), and
- an External Coordinator — a supervisory interface that synchronizes and stabilizes both models.
The result is a conceptual framework for synthetic intelligence that can think, feel, and regulate itself — not through competition, but through coordination.
Read the full article here:
👉 The Triadic Neural Architecture: A Distributed Framework for Coordinated Synthetic Intelligence
This content originally appeared on DEV Community and was authored by IT Junior
IT Junior | Sciencx (2025-10-13T08:10:22+00:00) The Triadic Neural Architecture — A Framework for Balanced Synthetic Intelligence. Retrieved from https://www.scien.cx/2025/10/13/the-triadic-neural-architecture-a-framework-for-balanced-synthetic-intelligence/
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