ARIA (Adaptive Recursive Intelligence Architecture) is a research project exploring the emergence of persistent preferences and memory-driven behavior in artificial agents. The system combines short-term reinforcement learning with entity-specific long-term value memory, allowing preferences to survive temporary reward loss and influence future decision-making. Current experiments focus on extinction resistance, value persistence, exploration under uncertainty, trust-like dynamics, and adaptive recovery following repeated reward disruption.