AIBullisharXiv – CS AI · Mar 177/10
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D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing
Researchers introduce D-MEM, a biologically-inspired memory architecture for AI agents that uses dopamine-like reward prediction error routing to dramatically reduce computational costs. The system reduces token consumption by over 80% and eliminates quadratic scaling bottlenecks by selectively processing only high-importance information through cognitive restructuring.