Deep Persona: A Psychologically Grounded Architecture and Evaluation Framework for Role-Playing Agents and Simulations
- 类型：arxiv
- 标识：2609.22255
- 链接：https://arxiv.org/abs/2609.22255
- 主分类：agent
- 形态：method
- TLDR：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
- 副分类：evaluation
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-09-22-agent-rag-longcontext-candidates.json