Quantum-Simulation: A Probabilistic Framework for Observer-Driven Agent Behavior within Rendered Frame Theory

We present a novel agent-based simulation framework that models quantum-conscious behavior in artificial agents within a rendered, adversarial virtual environment. This work introduces Quantum-Conscious Agents (QCAs), which differ fundamentally from traditional reflex-based agents by incorporating non-deterministic override mechanics derived from quantum probability evolution. Agents simulate conscious awareness through a dynamic override state, evolving via a non-Hermitian Schrödinger-like equation, and interact with perceived threats through probabilistic field modulation. Energetic constraints, stochastic regeneration, and group coherence govern override costs, modeling a fundamental consciousness-resource tradeoff. We further visualise the theoretical concept of observer-universe resonance through a numerically computed Φ_eff(t) field, integrating agent perception and system response. This simulation is grounded in Rendered Frame Theory (RFT), which posits that consciousness modifies the computational substrate of perceived reality through probabilistic collapse and override. Results demonstrate that conscious agents dramatically outperform reflex counterparts in threat avoidance, maintaining near-zero collision rates and full energy efficiency. This model offers a concrete computational pathway for testing hypotheses about consciousness, simulation theory, and observer-effect dynamics.