Artificial General Experience (AGE): Analysis of the AI concept

The article analyzes the concept of Artificial General Experience (AGE) proposed by Rana Gujral as the missing dimension of AI development alongside AGI. The author argues that AGE should not be understood as subjective experience or an increase in memory, but rather as functional historicity. The key distinction is the difference between data recording (storage) and system transformation, where past interactions permanently alter the organization of future actions and the agent's risk models. Unlike static databases, AGE assumes that after an event or error occurs, the system does not remain the same, but undergoes a historically dependent change in cognitive policy, bringing artificial architecture closer to biological processes of memory consolidation and reconsolidation.