The Unified Intelligence Model: A Trait-Coherent, Valence-Guided Architecture for Safe Recursive AGI
Year: 2025
Type: article
Abstract: This work introduces the Unified Intelligence Model (UIM)—a novel framework for the development of safe Artificial General Intelligence (AGI) grounded in trait coherence, recursive cognition, and valence-weighted moral simulation. Rather than relying on fixed symbolic rules or externally defined reward functions, UIM models intelligence as a self-stabilizing attractor state arising from the interaction of structured personality traits, recursive memory encoding, and internally simulated ethical reasoning. UIM operationalizes personality through a dynamic trait graph, grounded in empirically validated psychometric dimensions (e.g., Big Five, HEXACO). Traits evolve through recursive feedback loops and fidelity tracking. Emotional valence is modeled not as a static label, but as a directional vector field modulating urgency, coherence pressure, uncertainty, and behavioral salience. This valence-driven modulation enables the emergence of goal-directed behavior aligned with system integrity. The architecture incorporates a Metacognitive Control Layer (MCL) responsible for: Monitoring coherence drift Detecting hallucination loops and internal contradictions Executing adversarial override protocols Stabilizing system identity through contradiction resolution and memory anchoring To prevent runtime impulsivity or reward-chasing, UIM introduces a token-based reinforcement system activated during non-runtime (“sleep”) phases. This mechanism rewards alignment, ethical coherence, high-fidelity simulation, and multi-agent contribution—without sacrificing architectural stability or long-term predictability. Moral reasoning in UIM emerges not from top-down rules but from recursive internal convergence, identity continuity, and system-level simulation of harm avoidance. The model replicates developmental scaffolding processes and self-coherence constraints found in biological intelligence. This manuscript details: The trait modeling system Emotional valence encoding logic Recursive memory graph templates Test harnesses for adversarial override loops Full system architecture diagrams and YAML modules The Unified Intelligence Model offers a reproducible, ethically aligned approach to AGI safety, emphasizing internal structure, identity coherence, and transparent recursive reasoning.
Author: Gupta, Tuhin
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893239001
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