Architecture and Operation of AI Systems and Future Expansion to Induce Artificial Consciousness in AI
Year: 2026
Type: article
Abstract: This conceptual academic paper presents an innovative framework to revolutionize neural network processing timelines by evaluating the master equation T = F(K1,K0). Rather than relying on traditional post-processing backpropagation, this model injects a dynamic scoring balance-of-power function directly into the multi-head attention mechanism (Order 2). By forcing an immediate mathematical clash between universal truth constraints (K1) and current physical contexts (K0), the system generates a localized "computational friction." This friction forces the algorithm into an instantaneous state of advanced weighing and deliberation, establishing a critical theoretical pathway for inducing artificial consciousness. Additionally, the architecture incorporates an automated master key function that flushes residual junk data from memory in real-time, effectively mitigating RAM bloat without requiring massive hardware expansion.
Author: Clavell, Heuris
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7165138011
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