This episode explores a new approach to creating personalized and anthropomorphic social media agents. Current agents struggle with aligning their world knowledge with their personas and using only relevant persona information in their actions, which makes them less believable. The new agents are designed with a "knowledge boundary" that restricts their knowledge to match their persona (e.g., a doctor only knows medical information) and "persona dynamics" that select only the relevant persona traits for each action. The framework includes five modules: persona, action, planning, memory, and reflection, allowing the agents to behave more like real users.The episode also covers the evaluation of these agents in a simulation sandbox, demonstrating more believable and consistent social media interactions. Ethical concerns, potential applications, and future research directions are also discussed.
https://arxiv.org/pdf/2403.19275v2