SOURCE-LINKED INTELLIGENCE
Deep Persona: A Psychologically Grounded Architecture and Evaluation Framework for Role-Playing Agents and Simulations
Existing approaches to persona simulation with Large Language Models (LLMs) mostly rely on shallow character descriptions that fail to sustain coherent character behavior across extended interactions. We introduce Deep Persona, a psychologically grounded, three-layered architecture that organizes personas into hierarchical levels of observable expression, latent beliefs, and core motivational drives, for constructing highly convincing role-playing agents. Governed by the principles of scripted determinism and bounded agency, the architecture restricts the model to a reactive engine guided by a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-06T08:53:41.000Z
First collected: 2026-09-25T16:52:32.424Z. This is not the publication date.