Agentic Graph Systems: The Ideal Architecture for the Era of Experience

The era of experiernceThe “era of experience” described by David Silver and Richard Sutton represents a fundamental paradigm shift in artificial intelligence development. This proposed new era follows what Silver characterizes as the “era of human data,” where systems like large language models are trained primarily on vast datasets of human-generated content. Prior to this, AI development progressed through earlier stages: from rule-based systems programmed with explicit logic, through the supervised learning era where models were trained on labeled examples, to the current paradigm where models consume enormous quantities of human-generated text, code, images, and other data. Each stage expanded capabilities but maintained fundamental limitations tied to human knowledge boundaries. The proposed transition now moves from systems trained on human data toward systems that learn autonomously through their own experiences, breaking beyond these inherent constraints.