Temporal Architects: Reinventing Causality Through Artificial Minds

This paper introduces Q-TIME (Quantum Temporal Intelligence Modulation Engine), a speculative AI framework grounded in the Temporal Trinity Equation. It simulates how dual agents can adapt in environments where time flows non-linearly, including retrocausal rewards, entanglement-like dynamics, and feedback from the future. The results demonstrate emergent stability and learning under time-distorted conditions, offering insight into quantum control, analog gravity, and future-aware artificial intelligence.