一、论文 《Large Language Model based Multi-Agents: A Survey of Progress and Challenges》(文章链接) 二、作者 Taicheng Guo(美国圣母大学)、Xiuying Chen(阿卜杜拉国王科技大学)、Yaqi Wang(南方科技大学) 三、会议 arxiv预印版 四、代码 GitHub - taichengguo/LLM_MultiAgents_Survey_Papers: Large Language ...
[1] Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen,Jiakai Tang, Xu Chen, Yankai Lin, et al. A survey on large language model based autonomousagents. arXiv preprint arXiv:2308.11432, 2023. [2] Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen ...
Pioneering advancements in large language model-powered agents have underscored the design pattern of multi-agent collaboration, demonstrating that collective intelligence can surpass the capabilities of each individual. Inspired by the neural scaling law, which posits that increasing neurons leads to ...
Large language model (LLM) ubiquity and low-code no-code platforms have enabled clinician lead solution development. Specialised chatbots or 'agents' have evolved into multi-agent systems that can personify human collaboration. We assess the performance of an artificial intelligence (AI) multi-agent...
Action模块的构件框架 Action模块包含3个关键构件：文本输出、工具、具身行动。模块接收Brain模块发送的行动序列，执行与环境互动的行动，并改变自身状态。Agent与环境 框架涉及agent、multiple agents、agent human和agent society的交互形式。建议用游戏场景验证，例如在开放世界RPG游戏中进行实验。
Language Modelling Large Language Model Task Planning Datasets Edit Add Datasets introduced or used in this paper Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers. Methods...
Large Language Model based Multi-Agents: A Survey of Progress and Challenges - LLMAppArchitect/LLM_MultiAgents_Survey_Papers
basedagents:Asurvey.arXivpreprintarXiv:2309.07864,2023. [26]LeiWang,ChenMa,XueyangFeng,ZeyuZhang,HaoYang,JingsenZhang,ZhiyuanChen, JiakaiTang,XuChen,YankaiLin,etal.Asurveyonlargelanguagemodelbasedautonomous agents.arXivpreprintarXiv:2308.11432,2023. [27]XiangruTang,AnniZou,ZhuoshengZhang,YilunZhao,Xing...
Agent-based modeling and simulation have evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Recently, integrating large language models into agent-based modeling and s
A Survey on Large Language Model based Autonomous Agents 北大高林学院的一篇综述,从Construction, Application, Evaluation三个方面介绍了用LLM搭建的Agents,里面讲到的多智能体互动的工作比较多。综述最后还简单介绍了相关领域的未来挑战。以下将LLM-based Autonomous Agent简称为LLM-AA. 1 LLM-AA Construction 对LLM...