BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks
School of Electrical Engineering and Computer Science, TU Berlin（技术大学柏林电气工程与计算机科学学院）；Optical Zeitgeist Laboratory, INRS（光感知实验室，INRS）；Federal Ministry of Research, Technology and Space (BMFTR, Germany)（德国联邦研究、科技与航天部）
Future sixth-generation (6G) mobile networks will demand artificial intelligence (AI) agents that are not only autonomous and efficient, but also capable of real-time adaptation in dynamic environments and transparent in their decisionmaking. However, prevailing agentic AI approaches in networking, exhibit significant shortcomings in this regard. Conventional deep reinforcement learning (DRL)-based agents lack explainability and often suffer from brittle adaptation, including catastrophic forgetting of past knowledge under non-stationary conditions. In this paper, we propose an alternative solution for these challenges: Bayesian reasoning via Active Inference (BRAIN) agent. BRAIN harnesses a deep generative model of the network environment and minimizes variational free energy to unify perception and action in a single closed-loop paradigm. We implement BRAIN as O-RAN eXtended application (xApp) on GPU-accelerated testbed and demonstrate its advantages over standard DRL baselines. In our experiments, BRAIN exhibits (i) robust causal reasoning for dynamic radio resource allocation, maintaining slice-specific quality of service (QoS) targets (throughput, latency, reliability) under varying traffic loads, (ii) superior adaptability with up to 28.3% higher robustness to sudden traffic shifts versus benchmarks (achieved without any retraining), and (iii) real-time interpretability of its decisions through human-interpretable belief state diagnostics.
Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction
QiYuan Lab（启元实验室）；University of Electronic Science and Technology of China（电子科技大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Northeastern University（东北大学）；Beihang University（北京航空航天大学）；Tsinghua University（清华大学）
AirVista-II: An Agentic System for Embodied UAVs Toward Dynamic Scene Semantic Understanding
Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology（创新工程学院工程科学系，澳门科学技术大学）；State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences（复杂系统管理与控制国家重点实验室，中国科学院自动化研究所）；State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences（复杂系统管理与控制国家重点实验室，中国科学院）
Agentic AI for Embodied-enhanced Beam Prediction in Low-Altitude Economy Networks
School of Electronic Science and Engineering, South China Normal University（南方科技大学电子科学与工程学院）；School of Intelligent Engineering, Shaoguan university（韶关大学智能工程学院）；School of Automation, Guangdong University of Technology（广东工业大学自动化学院）
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Interactive Environmental Learning in Physical Embodied Systems
FNii-Shenzhen（FNii-深圳）；SSE, CUHK-Shenzhen（SSE，CUHK-深圳）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；The University of Hong Kong（香港大学）；National University of Singapore（新加坡国立大学）；The Chinese University of Hong Kong（香港中文大学）；Ising AI
BRAINCELL-AID: An Agentic AI Created Brain Cell Type Resource for Community Annotation
McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston（德克萨斯大学健康科学中心休斯顿分校麦克威廉斯生物医学信息学学院）；Appel Alzheimer’s Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine（艾伯神经变性病研究机构、费尔家庭脑与心灵研究机构、韦尔·科恩医学中心）；Department of Biomedical Informatics and Data Science, School of Medicine, Yale University（耶鲁大学医学院生物医学信息学与数据科学系）；Allen Institute for Brain Science（艾伦脑科学研究所）
BrainPilot: Automating Brain Discovery with Agentic Research
College of AI, Tsinghua University（清华大学人工智能学院）；Shanghai Qizhi Institute（上海期智研究院）；Business School, Renmin University of China（中国人民大学商学院）；School of Physics, Beihang University（北京航空航天大学物理学院）；School of Information and Software Engineering, University of Electronic Science and Technology of China（电子科技大学信息与软件工程学院）；Behavioral and Cognitive Neuroscience Center, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University（复旦大学脑科学与智能技术研究院行为与认知神经科学中心）；College of Engineering, Georgia Institute of Technology（佐治亚理工学院工程学院）；School of Life Sciences & IDG/McGovern Institute for Brain Research, Tsinghua University（清华大学生命科学学院&清华-IDG/麦戈文脑科学研究院）；School of Computing and Artificial Intelligence, Southwest Jiaotong University（西南交通大学计算机与人工智能学院）；Weixian College, Tsinghua University（清华大学未央学院）；Department of Psychological and Cognitive Sciences, Tsinghua University（清华大学心理学与认知科学系）
Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
Institute for Clarity in Documentation（清晰文档研究所）；Inria Paris-Rocquencourt（巴黎- Rocquencourt 国家信息与自动化所）；Rajiv Gandhi University（拉吉夫·甘地大学）；Tsinghua University（清华大学）；Palmer Research Laboratories（帕勒尔研究实验室）；Beijing Jiaotong University（北京交通大学）
Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach
School of Electronic Information and Communications, the Huazhong University of Science and Technology, Wuhan, China（电子信息与通信学院，华中科技大学，武汉）；Peng Cheng Laboratory, Shenzhen, China（鹏城实验室，深圳，中国）；Pazhou Laboratory (Huangpu), Guangzhou, China（琶洲实验室（黄埔），广州，中国）；School of Artificial Intelligence, Xidian University, Xi’an, Shaanxi 710071, China（人工智能学院，西安电子科技大学，西安，陕西）；State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China（网络与交换技术国家重点实验室，北京邮电大学，北京，中国）
Agentic DDQN-Based Scheduling for Licensed and Unlicensed Band Allocation in Sidelink Networks
Department of Electronics and Electrical Engineering（电子与电气工程系）；Institute of Communications Engineering（通讯工程研究所）；National Yang Ming Chiao Tung University（阳明交通大学）；Research Center for Information Technology Innovation（信息技术创新研究中心）；Academia Sinica（台湾“中央研究院”）；Bradley Department of Electrical and Computer Engineering（电气与计算机工程系）
Embodied Synaptic Plasticity with Online Reinforcement learning
FZI Research Center for Information Technology（FZI信息技术研究中心）；Graz University of Technology（格拉茨技术大学）；Georg-August Universität（哥廷根乔治-奥古斯特大学）；Technische Universität Dresden（德累斯顿工业大学）
Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges
Shenzhen International Graduate School (SIGS), Tsinghua University（深圳国际研究生院（SIGS），清华大学）；New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences（模式识别新实验室（NLPR），自动化研究所，中国科学院）
GameBoyWorlds: A Testbed for Self-Improvement in Embodied Video Games
Information Sciences Institute, University of Southern California（南加州大学信息科学研究所）；Columbia University（哥伦比亚大学）；University of Chicago（芝加哥大学）；Purdue University（普渡大学）；Georgia Institute of Technology（佐治亚理工学院）
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
Université de Montréal（蒙特利尔大学）；Mila – Quebec Artificial Intelligence Institute（米拉-魁北克人工智能研究所）；Institute of Advanced Intelligence and Computing (IAIC), A*STAR（新加坡科技研究局高级智能与计算研究所）；Nanjing Medical University（南京医科大学）；Nanjing University（南京大学）；Renmin University of China（中国人民大学）；University of Cambridge（剑桥大学）；University of Oxford（牛津大学）；Tsinghua University（清华大学）；National University of Singapore（新加坡国立大学）；The Hong Kong University of Science and Technology（香港科技大学）；The Hong Kong Polytechnic University（香港理工大学）；Southern University of Science and Technology（南方科技大学）；Southeast University（东南大学）；University of Glasgow（格拉斯哥大学）；Nanyang Technological University（南洋理工大学）
该研究提出以人为中心的 Combodied Agents 新范式，整合多类智能体能力形成闭环，聚焦人类状态轨迹建模，推动智能体 AI 从任务完成转向人类持续福祉。
Paradigms of Intelligence Team, Google（谷歌智能范式团队）；University of Chicago（芝加哥大学）；Santa Fe Institute（圣菲研究所）；Antikythera, Berggruen Institute（安提基特拉与伯格格林研究所）；University of California, San Diego（加州大学圣地亚哥分校）
Digital Twin Synchronization Over Mobile Embodied AI Network With Agentic Intelligence
College of Information Science and Electronic Engineering, Zhejiang University（浙江大学信息与电子工程学院）；Department of Engineering, King’s College London（伦敦国王学院工程系）；Department of Computing, Imperial College London（帝国理工学院计算系）；Department of Electrical and Electronic Engineering, The University of Hong Kong（香港大学电气电子工程系）
