Constructing personalized and anthropomorphic agents holds significant importance in the simulation of social networks. However, there are still two key problems in existing works: the agent possesses world knowledge that does not belong to its personas, and it cannot eliminate the interference of diverse persona information on current actions, which reduces the personalization and anthropomorphism of the agent. To solve the above problems, we construct the social media agent based on personalized knowledge and dynamic persona information. For personalized knowledge, we add external knowledge sources and match them with the persona information of agents, thereby giving the agent personalized world knowledge. For dynamic persona information, we use current action information to internally retrieve the persona information of the agent, thereby reducing the interference of diverse persona information on the current action. To make the agent suitable for social media, we design five basic modules for it: persona, planning, action, memory and reflection. To provide an interaction and verification environment for the agent, we build a social media simulation sandbox. In the experimental verification, automatic and human evaluations demonstrated the effectiveness of the agent we constructed.

翻译：构建个性化和拟人化智能体在社交网络模拟中具有重要意义。然而现有研究仍存在两个关键问题：智能体拥有不属于其角色设定的世界知识，且无法消除多样化角色信息对当前行为的干扰，这削弱了智能体的个性化与拟人化程度。为解决上述问题，我们基于个性化知识与动态角色信息构建社交媒体智能体。针对个性化知识，我们引入外部知识源并将其与智能体的角色信息进行匹配，从而赋予智能体个性化的世界知识。针对动态角色信息，我们利用当前行为信息在内部检索智能体的角色信息，从而降低多样化角色信息对当前行为的干扰。为使智能体适用于社交媒体，我们为其设计了五个基础模块：角色设定、规划、行为、记忆与反思。为提供智能体的交互与验证环境，我们构建了社交媒体模拟沙盒。在实验验证中，自动评估与人工评估均证明了所构建智能体的有效性。