Intelligent agents stand out as a potential path toward artificial general intelligence (AGI). Thus, researchers have dedicated significant effort to diverse implementations for them. Benefiting from recent progress in large language models (LLMs), LLM-based agents that use universal natural language as an interface exhibit robust generalization capabilities across various applications -- from serving as autonomous general-purpose task assistants to applications in coding, social, and economic domains, LLM-based agents offer extensive exploration opportunities. This paper surveys current research to provide an in-depth overview of LLM-based intelligent agents within single-agent and multi-agent systems. It covers their definitions, research frameworks, and foundational components such as their composition, cognitive and planning methods, tool utilization, and responses to environmental feedback. We also delve into the mechanisms of deploying LLM-based agents in multi-agent systems, including multi-role collaboration, message passing, and strategies to alleviate communication issues between agents. The discussions also shed light on popular datasets and application scenarios. We conclude by envisioning prospects for LLM-based agents, considering the evolving landscape of AI and natural language processing.
Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects
School of Computer Engineering, Iran University of Science and Technology（伊朗科学技术大学计算机工程学院）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算机与数据科学学院）
When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospects
School of Science and Technology, Hong Kong Metropolitan University（香港都会大学科技学院）；School of Intelligent Systems Science and Engineering, Jinan University（暨南大学智能系统科学与工程学院）；Nanjing University of Posts and Telecommunications（南京邮电大学）
Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning
Hefei University of Technology（合肥工业大学）；Carnegie Mellon University（卡内基梅隆大学）；Cornell University（康奈尔大学）；University of San Francisco（旧金山大学）；AMA University Quezon（AMA奎松大学）
Dynamic Mask Enhanced Intelligent Multi-UAV Deployment for Urban Vehicular Networks
University of Science and Technology of China（中国科学技术大学）；Institute of Artificial Intelligence, Hefei Comprehensive National Science Center（合肥综合性国家科学中心人工智能研究院）
Research on the Spatial Data Intelligent Foundation Model
Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院空天信息创新研究院）；Microsoft Research Asia（微软亚洲研究院）；Tsinghua University（清华大学）；Beijing University of Chemical Technology（北京化工大学）；Beijing University of Technology（北京工业大学）；Peking University（北京大学）；Shenzhen University（深圳大学）；Shijiazhuang Railway University（石家庄铁道大学）；Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences（中国科学院地理科学与资源研究所）；Wuhan University（武汉大学）；Research Institute of Software, Chinese Academy of Sciences（中国科学院软件研究所）；Huazhong University of Science and Technology（华中科技大学）；Fast Natural Language Processing Center and Audio Center（快言自然语言处理中心与音频中心）；Beihang University（北京航空航天大学）；SuperMap Software Co. Ltd（超图软件股份有限公司）；China University of Geosciences (Wuhan)（中国地质大学（武汉））；Xiamen University（厦门大学）；Chinese Academy of Sciences（中国科学院）；East China Normal University（华东师范大学）；Nanjing Normal University（南京师范大学）；Beijing Normal University（北京师范大学）；Renmin University of China（中国人民大学）
