AINeutralarXiv – CS AI · Mar 116/10
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Time, Identity and Consciousness in Language Model Agents
Researchers introduce a new framework using Stack Theory to evaluate machine consciousness in AI language models by distinguishing between agents that can talk about having a stable identity versus those actually organized with persistent self-structure. The methodology uses temporal scaffolding and persistence scores to assess whether AI agents demonstrate genuine identity continuity or merely simulate it through language.