Volume 17, Number 1
Triadic S-AI-Antihallucination: Hormonal Clarification and Metacognitive Stabilization in Generative Reasoning
Authors
Said Slaoui , Mohammed V Universit, Morocco
Abstract
The triadic regime of Sparse Artificial Intelligence (S-AI-AntiHallucination) extends the binary model of governed parsimony by introducing a hormonally regulated clarification phase between response and abstention. It bridges the epistemic gap between uncertainty and silence, stabilizing reasoning and improving factual reliability through metacognitive control. A five-dimensional hormonal vector governs the interaction between uncertainty, coherence, contradiction, reliability, and clarification. The Clarification Hormone (CL) orchestrates intermediate introspection, while triadic hysteresis policies ensure stable transitions among response, clarification, and abstention. A small-scale simulation was conducted on a synthetic dataset representing conversational reasoning scenarios. The integrated memory system consolidates clarified reasoning and decays unresolved hallucinations, enabling endogenous self-governance. The triadic S-AI-AntiHallucination framework establishes a metacognitive stabilization layer where clarification becomes an intrinsic property of reasoning. By harmonizing hormonal regulation, symbolic control, and adaptive memory, it advances the development of frugal, explainable, and ethically grounded artificial intelligence.
Keywords
Sparse Artificial Intelligence, Triadic decision model, Clarification hormone, Metacognitive reasoning, Hormonal orchestration, Hallucination mitigation, Explainable AI, Energy- efficient cognition, Symbolic-hormonal integration, Self-regulated intelligence.