Summary of Knowledge Boundary and Persona Dynamic Shape a Better Social Media Agent, by Junkai Zhou et al.
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
by Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng
First submitted to arxiv on: 28 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper tackles the issue of constructing personalized and anthropomorphic agents in simulating social networks. Existing works face two key challenges: agents possess world knowledge that doesn’t belong to their personas, and diverse persona information interferes with current actions, reducing personalization and anthropomorphism. To overcome these issues, the authors develop a social media agent based on personalized knowledge and dynamic persona information. They incorporate external knowledge sources matching persona information, providing agents with personalized world knowledge. Additionally, they use current action information to internally retrieve persona information, minimizing interference. The agent is composed of five modules: persona, planning, action, memory, and reflection. A social media simulation sandbox is built for interaction and verification. Experimental results demonstrate the effectiveness of the constructed agent through both automatic and human evaluations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper tries to make computer agents that act like real people in social networks. Right now, these agents have too much information that doesn’t belong to them or their fake identities. This makes it hard for them to be very personal or realistic. To solve this problem, the researchers created a new kind of agent that uses personalized knowledge and constantly updates its fake identity based on what it’s doing. The agent has five parts: one for its personality, another for planning, one for taking actions, one for remembering things, and one for reflecting on its experiences. They also built a special environment where the agent can interact with people and get verified to see how well it does. |
