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Development of a large language model-driven intelligent agent for predicting relative permeability in oil and gas reservoirs 认领 引用
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作者 Jiulong Wang Yuanchun Zhou +2 位作者 Xuhui Zhang Junming Lao Hongqing Song 《Theoretical & Applied Mechanics Letters》 EI CAS CSCD 2026年第3期91-98,共8页
To address the challenges and difficulties in predicting the relative permeability of reservoirs using traditional physics-driven and data-driven approaches,this paper proposes a collaborative analysis intelligent age... To address the challenges and difficulties in predicting the relative permeability of reservoirs using traditional physics-driven and data-driven approaches,this paper proposes a collaborative analysis intelligent agent for the relative permeability of oil and gas reservoirs based on a large model.By constructing a multiagent collaborative workflow,integrated collaboration of data,models,and analysis results is achieved.The intelligent agent automatically completes data preprocessing,feature extraction,parameter calibration,small model calling,and output and evaluation of prediction results based on preset task dependencies.At the same time,by introducing deep learning-based embedding of physical information,the analysis efficiency and accuracy are significantly improved.The results show that compared with traditional physical analysis methods,this method improves the accuracy of reservoir relative permeability prediction by 10%,has a computational efficiency 10 times higher than traditional deep learning algorithms,and a computational speed 100–1,000 times higher than conventional physical models.This study further enhances the efficiency and intelligence of physical property analysis of oil and gas reservoirs,providing a new research direction for the intelligent development of oil and gas digitization. 展开更多
关键词 Relative permeability Large language model Intelligent agent
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A Systematic Review of Agentic AI for Autonomous Navigation:SLAM-Based Intelligent Agents 认领 引用
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作者 Mukesh Dalal Anterpreet Kaur Bedi Payal Mittal 《Computers, Materials & Continua》 SCIE EI 2026年第10期63-100,共38页
Autonomous navigation poses a key challenge in Artificial Intelligence(AI),necessitating agents to plan and execute actions in complex,partially visible surroundings.Simultaneous Localization and Mapping(SLAM)facilita... Autonomous navigation poses a key challenge in Artificial Intelligence(AI),necessitating agents to plan and execute actions in complex,partially visible surroundings.Simultaneous Localization and Mapping(SLAM)facilitates autonomous navigation of robots and vehicle objects to construct an unfamiliar environment map while concurrently monitoring their inside position.This systematic review investigates the nascent convergence of agentic AI,defined by goal-oriented autonomy,with adaptive decision-making and reasoning,with SLAM-based navigation systems.This paper utilized Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)methodology,which concentrated on peer-reviewed articles published in(2017-2026),particularly in SLAM-based intelligent agents utilized for autonomous navigation.SLAM has transformed from a geometry-based localization framework into an advanced perceptual and reasoning paradigm for autonomous navigation.Recent advancements in agentic AI,semantic perception,multimodal learning,and embodied foundation models have facilitated autonomous agents in progressing from passive mapping to context-aware decision-making and goal-directed navigation.The emergence of agentic AI and embodied AI has revolutionized SLAM into a spatial world model that facilitates perception,memory,reasoning,and autonomous decision-making.Contemporary research emphasizes lifelong SLAM,collaborative multi-agent mapping,semantic world modelling,and the integration of Large Language Models(LLMs)and Vision-Language Models(VLMs)for intelligent autonomous agents.Consequently,SLAM has evolved from a localization instrument to an extensive cognitive framework facilitating advanced autonomous navigation systems. 展开更多
关键词 SLAM agentic AI autonomous navigation multi-agents intelligent agents
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Intelligent Agent-Based System for Digital Library Information Retrieval 认领 引用 被引量：4
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作者 师雪霖 牛振东 +1 位作者 宋瀚涛 宋丽哲 《Journal of Beijing Institute of Technology》 EI CAS 2003年第4期450-454,共5页
A new information search model is reported and the design and implementation of a system based on intelligent agent is presented. The system is an assistant information retrieval system which helps users to search wha... A new information search model is reported and the design and implementation of a system based on intelligent agent is presented. The system is an assistant information retrieval system which helps users to search what they need. The system consists of four main components: interface agent, information retrieval agent, broker agent and learning agent. They collaborate to implement system functions. The agents apply learning mechanisms based on an improved ID3 algorithm. 展开更多
关键词 intelligent agent information retrieval agent cooperation machine learning
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Design and Application of an Intelligent Agent for Web Information Discovery 认领 引用
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作者 闵君 冯珊 +1 位作者 唐超 许立达 《Journal of Systems Engineering and Electronics》 EI 2003年第4期59-68,共10页
With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right informatio... With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right information on the web. This paper an intelligent agent for internet applications to retrieve and extract web information under user's guidance. The intelligent agent is made up of a retrieval script to identify web sources, an extraction script based on the document object model to express extraction process, a data translator to export the extracted information into knowledge bases with frame structures, and a data reasoning to reply users' questions. A GUI tool named Script Writer helps to generate the extraction script visually, and knowledge rule databases help to extract wanted information and to generate the answer to questions. 展开更多
关键词 web information discovery intelligent agent data reasoning integrated study method.
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Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform 认领 引用
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作者 Hamdi Ben Abdessalem Alexie Byrns Claude Frasson 《International Journal of Intelligence Science》 2021年第2期70-96,共27页
Alzheimer’s disease affects millions of persons every year. Negative emotions such as stress and frustration have a negative impact on memory function and Alzheimer's patients experience more negative emotions th... Alzheimer’s disease affects millions of persons every year. Negative emotions such as stress and frustration have a negative impact on memory function and Alzheimer's patients experience more negative emotions than healthy adults. Non-pharmacological treatment such as immersion in virtual environments could help Alzheimer patients by reducing their negative emotions, but it has restrictions and requirements. In this work, we present three virtual reality relaxing systems in which the patients are immersed in relaxing environments. We propose to use intelligent agents in order to adapt the relaxing environment to each participant and optimize its relaxation effect. The intelligent agents track the emotions of patients using electroencephalography as input in order to adapt the environments. We designed each system with different levels of intelligence in order to analyze the impact of the adaptation on the patients. Experiments were performed for each system on participants with subjective cognitive decline. Results show that these relaxing systems can reduce negative emotions and improve participants’ memory performance. The positive effects on affective state and memory persisted for a longer period of time and were generally more effective for the systems with more intelligence. We believe that the combination of a relaxing environment, virtual reality, intelligent agents for adapting the environment, and brain assessment is a promising method for helping Alzheimer’s patients. 展开更多
关键词 EEG Brain Assessment Intelligent Agent Virtual Reality Alzheimer’s Disease Subjective Cognitive Decline Emotions Adaptation Emotional Intelligence
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Rumi: An Intelligent Agent Enhancing Learning Management Systems Using Machine Learning Techniques 认领 引用
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作者 Behafarid Mohammad Jafari Mengyuan Zhao Ali Jafari 《Journal of Software Engineering and Applications》 2022年第9期325-343,共19页
The dramatic improvement of information and communication technology (ICT) has made an evolution in learning management systems (LMS). The rapid growth in LMSs has caused users to demand more advanced, automated, and ... The dramatic improvement of information and communication technology (ICT) has made an evolution in learning management systems (LMS). The rapid growth in LMSs has caused users to demand more advanced, automated, and intelligent services. This paper discusses how Artificial Intelligence and Machine Learning techniques are adopted to fulfill users’ needs in a social learning management system named “CourseNetworking”. The paper explains how machine learning contributed to developing an intelligent agent called “Rumi” as a personal assistant in CourseNetworking platform to add personalization, gamification, and more dynamics to the system. This paper aims to introduce machine learning to traditional learning platforms and guide the developers working in LMS field to benefit from advanced technologies in learning platforms by offering customized services. 展开更多
关键词 Learning Management Systems Intelligent Agents Artificial Intelligence Machine Learning
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AI Agent Economy:An Intelligent Restructuring Path for Corporate Profit Sharing:Take Cross-Border E-Commerce Supply Chain Optimization as an Example 认领 引用
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作者 Biao Wang 《Proceedings of Business and Economic Studies》 2026年第7期8-12,共5页
With the deep integration of artificial intelligence(AI)technology into cross-border e-commerce,the profit sharing mechanism of the traditional cross-border e-commerce supply chain is facing new opportunities for inte... With the deep integration of artificial intelligence(AI)technology into cross-border e-commerce,the profit sharing mechanism of the traditional cross-border e-commerce supply chain is facing new opportunities for intelligent restructuring.This paper discusses the innovation path to optimize the profit distribution of enterprises under the background of AI agent economy,analyzes the mechanism evolution and implementation of AI-enabled supply chain,explains the benefits and challenges of intelligent distribution model in combination with practical cases such as SHEIN,and looks forward to the future impact of AI on the reshaping of cross-border e-commerce supply chain structure. 展开更多
关键词 Artificial intelligence agent economy Cross-border e-commerce Profit sharing Supply chain optimization Data-driven
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The Agentic-AI Core:An AI-Empowered,Mission-Oriented Core Network for Next-Generation Mobile Telecommunications 认领 引用 被引量：1
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作者 Xu Li Weisen Shi +3 位作者 Hang Zhang Chenghui Peng Shaoyun Wu Wen Tong 《Engineering》 SCIE EI CSCD 2026年第1期104-119,共16页
While the complexity of fifth-generation wireless networks is being widely commented upon,there is great anticipation for the arrival of the sixth generation(6G),with its enriched capabilities and features.It can easi... While the complexity of fifth-generation wireless networks is being widely commented upon,there is great anticipation for the arrival of the sixth generation(6G),with its enriched capabilities and features.It can easily be imagined that,without proper design,the enrichment of 6G will further increase system complexity.To address this issue,we propose the Agentic-AI Core(A-Core),an artificial intelligence(AI)-empowered,mission-oriented core network architecture for next-generation mobile telecommunications.In A-Core,network capabilities can be added and updated on the fly and further programmed into missions for enabling and offering diverse services to customers.These missions are created and executed by autonomous network agents according to the customer's intent,which may be expressed in natural language.The agents resolve intents from customers into workflows of network capabilities by leveraging a large-scale network AI model and follow the workflows to execute the mission.As an open,agile system architecture,A-Core holds promise for accelerating innovation and greatly reducing standard release times.The advantages of A-Core are demonstrated through two use cases. 展开更多
关键词 Sixth generation Core network Generative artificial intelligence Artificial intelligence agent
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Intelligent Agents in Cybersecurity:Deep Learning to Analyze User Behavior Applying 认领 引用
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作者 Conrad Onésime Oboulhas Tsahat Charmolavy Goslavy Lionel Nkouka Moukengue Ngoulou-A-Ndzeli 《Journal of Intelligent Learning Systems and Applications》 2025年第4期280-290,共11页
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions.A four-module architectu... The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions.A four-module architecture is proposed:log collection and aggregation,behavioral feature generation,analysis using the Long Short-Term Memory(LSTM)+Attention model,and an interpretation module.A hybrid approach is used that combines log processing,temporal neural networks and an attention mechanism to identify significant actions in the behavioral chain.Testing was conducted on the Computer Emergency Response Team(CERT)and the Australian Defence Force Academy Linux Dataset(ADFA-LD)datasets.The developed system demonstrated high accuracy rates(ROC-AUC>0.95),as well as superiority over classical and modern models(Logistic Regression,Random Forest,and Autoencoder).The attention mechanism ensured interpretability:it became possible to visually determine which user actions caused the alarm.A method for preparing logs and forming training samples is proposed.The intelligent agent can be integrated into corporate Security Information and Event Management(SIEM)/User and Entity Behavior Analytics(UEBA)systems,used in monitoring centers and applied in educational practice.Scientific novelty is manifested in the architecture,the use of attention in logs and interpretable behavior analysis in real time. 展开更多
关键词 Intelligent Agents Behavioral Analysis Cybersecurity Deep Learning UEBA
Multi-Agent Systems:From Classical Paradigms to Large Foundation Model-Enabled Futures 认领 引用
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作者 Zixiang Wang Mengjia Gong +5 位作者 Qiyu Sun Jing Xu Shuai Mao Xin Jin Qing-Long Han Yang Tang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第5期1007-1023,共17页
With the rapid advancement of artificial intelligence,multi-agent systems(MASs)are evolving from classical paradigms toward architectures built upon large foundation models(LFMs).This survey provides a systematic revi... With the rapid advancement of artificial intelligence,multi-agent systems(MASs)are evolving from classical paradigms toward architectures built upon large foundation models(LFMs).This survey provides a systematic review and comparative analysis of classical MASs(CMASs)and LFM-based MASs(LMASs).First,within a closed-loop coordination framework,CMASs are reviewed across four fundamental dimensions:perception,communication,decision-making,and control.Beyond this framework,LMASs integrate LFMs to lift collaboration from low-level state exchanges to semantic-level reasoning,enabling more flexible coordination and improved adaptability across diverse scenarios.Then,a comparative analysis is conducted to contrast CMASs and LMASs across architecture,operating mechanism,adaptability,and application.Finally,future perspectives on MASs are presented,summarizing open challenges and potential research opportunities. 展开更多
关键词 Agentic artificial intelligence(Al) large foundation model multi-agent system
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Coordinated dynamic mission planning scheme for intelligent multi-agent systems 认领 引用
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作者 彭军 文孟飞 +2 位作者 谢国祺 张晓勇 Kuo-chi LIN 《Journal of Central South University》 SCIE EI CAS 2012年第11期3170-3179,共10页
Mission planning was thoroughly studied in the areas of multiple intelligent agent systems,such as multiple unmanned air vehicles,and multiple processor systems.However,it still faces challenges due to the system comp... Mission planning was thoroughly studied in the areas of multiple intelligent agent systems,such as multiple unmanned air vehicles,and multiple processor systems.However,it still faces challenges due to the system complexity,the execution order constraints,and the dynamic environment uncertainty.To address it,a coordinated dynamic mission planning scheme is proposed utilizing the method of the weighted AND/OR tree and the AOE-Network.In the scheme,the mission is decomposed into a time-constraint weighted AND/OR tree,which is converted into an AOE-Network for mission planning.Then,a dynamic planning algorithm is designed which uses task subcontracting and dynamic re-decomposition to coordinate conflicts.The scheme can reduce the task complexity and its execution time by implementing real-time dynamic re-planning.The simulation proves the effectiveness of this approach. 展开更多
关键词 weighted AND/OR tree multiple intelligent agent coordinated dynamic mission planning AOE-Network
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Research on active defense decision-making method for cloud boundary networks based on reinforcement learning of intelligent agent 认领 引用
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作者 Huan Wang Yunlong Tang +4 位作者 Yan Wang Ning Wei Junyi Deng Zhiyan Bin Weilong Li 《High-Confidence Computing》 EI 2024年第2期50-61,共12页
The cloud boundary network environment is characterized by a passive defense strategy,discrete defense actions,and delayed defense feedback in the face of network attacks,ignoring the influence of the external environ... The cloud boundary network environment is characterized by a passive defense strategy,discrete defense actions,and delayed defense feedback in the face of network attacks,ignoring the influence of the external environment on defense decisions,thus resulting in poor defense effectiveness.Therefore,this paper proposes a cloud boundary network active defense model and decision method based on the reinforcement learning of intelligent agent,designs the network structure of the intelligent agent attack and defense game,and depicts the attack and defense game process of cloud boundary network;constructs the observation space and action space of reinforcement learning of intelligent agent in the non-complete information environment,and portrays the interaction process between intelligent agent and environment;establishes the reward mechanism based on the attack and defense gain,and encourage intelligent agents to learn more effective defense strategies.the designed active defense decision intelligent agent based on deep reinforcement learning can solve the problems of border dynamics,interaction lag,and control dispersion in the defense decision process of cloud boundary networks,and improve the autonomy and continuity of defense decisions. 展开更多
关键词 Active defense decision-making Cloud boundary network security Intelligent agent reinforcement learning Offensive and defensive game
Mobile intelligent agent entity model towards QoS guarantee 认领 引用
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作者 LI Jie WANG Ru-chuan BIAN Zheng-ai 《Frontiers of Electrical and Electronic Engineering in China》 2006年第4期480-486,共7页
Implementing a flexible configuration of the QoS parameter in a distributed computing network has be-come a problem due to the weak scalability of current ap-proaches.In an effort to solve this problem,an inner basic ... Implementing a flexible configuration of the QoS parameter in a distributed computing network has be-come a problem due to the weak scalability of current ap-proaches.In an effort to solve this problem,an inner basic model of an intelligent agent(IA)is presented.The IA functionality was extended by introducing a primarily mo-bile agent.A QoS guarantee scheme was subsequently de-signed and implemented based on the model as well.By utilizing the proposed scheme,the IA can sense,predict and configure the data flow traffic.Since the communicating ability was considered and provided,the competition among different devices could be eliminated effectively and the global traffic can be optimized.The results of the simula-tions have shown that the proposed model can provide a QoS guarantee. 展开更多
关键词 intelligent agent QoS
Design of an Intelligent Self-Healing Smart Grid using a Hybrid Multi-Agent Framework 认领 引用 被引量：1
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作者 Darmawan Sutanto 《Journal of Electronic Science and Technology》 CAS 2011年第1期17-22,共6页
This paper discusses the applications of a hybrid multi-agent framework for self-healing applications in an intelligent smart grid system following catastrophic disturbances such as loss of generators or during system... This paper discusses the applications of a hybrid multi-agent framework for self-healing applications in an intelligent smart grid system following catastrophic disturbances such as loss of generators or during system fault.The proposed hybrid multi-agent framework is a hybrid of both centralized and decentralized scheme to allow distributed intelligent agent in the smart grid system to make fast local decision while allowing the slower central controller to judge the effectiveness of the decision made by the local agents and to suggest more optimal solutions. 展开更多
关键词 Intelligent agent multi-agent power system self-healing smart grid.
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NOVEL MULTI-LEVEL OPTIMIZATION METHOD FOR CHEMICAL COMPLEX USING INTELLIGENT AGENT 认领 引用
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作者 XiaojunLI HuanjunYU ShangxuHU 《Systems Science and Systems Engineering》 2003年第2期236-253,共18页
Multi-level optimization of complex chemical complex was comprehensively analyzed, including the optimization of management plan, production scheme, operating conditions, etc. The software framework of multi-level opt... Multi-level optimization of complex chemical complex was comprehensively analyzed, including the optimization of management plan, production scheme, operating conditions, etc. The software framework of multi-level optimization of chemical complex was worked out. Basing upon the frame of multi-level optimization, the intelligent agent technique was adopted to search for global optimum. The organization, function, design and the implementation of a series of intelligent agents were discussed. According to the strategy that to spend most computing time in optimization solving and much less time in exchanging information regarding the tasks and results of optimization through network, the communication mechanism and cooperation rules for Multi-Agent System for hierarchically optimizing chemical complex was proposed. 展开更多
关键词 Intelligent Agent chemical complex multi-level optimization
Exploring the Path of AIGC and AI Agents Empowering Front-End Teaching and Learning 认领 引用
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作者 Dongxing Wang Wang Yu Weixing Wang 《Journal of Contemporary Educational Research》 2025年第11期278-283,共6页
In response to the pain points of rapid iteration of front-end education technology,large differences in learner foundations,and a lack of practical scenarios,this paper combines generative artificial intelligence and... In response to the pain points of rapid iteration of front-end education technology,large differences in learner foundations,and a lack of practical scenarios,this paper combines generative artificial intelligence and AI agents to analyze the empowerment logic from three dimensions:knowledge ecology reconstruction,cognitive collaborative upgrading,and teaching methodology innovation.It explores its application scenarios in teaching and learning,sorts out challenges such as technology adaptation and learning dependence,and proposes paths such as building an exclusive AI ecosystem and optimizing the guidance mechanism of intelligent agents to provide support for the digital transformation of front-end education. 展开更多
关键词 AIGC AI intelligent agent Front-end education Teaching and learning efficiency
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作为“共在”的交往:可沟通型智能体的生长机制与社会嵌入 认领 引用
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作者 张立 何泽权 《编辑之友》 CSSCI 北大核心 2026年第3期49-58,共10页
媒介智能化生态中人与智能体的互动,是数智化发展与媒介化进阶相耦合的具身性产物。文章通过解析智能体的可沟通性呈现及其在社会化过程中的建构图景,探讨了媒介智能化生态中人与智能体的互动机制,提出可沟通型智能体是驱动人与智能体... 媒介智能化生态中人与智能体的互动,是数智化发展与媒介化进阶相耦合的具身性产物。文章通过解析智能体的可沟通性呈现及其在社会化过程中的建构图景,探讨了媒介智能化生态中人与智能体的互动机制,提出可沟通型智能体是驱动人与智能体交往范式转型的关键主体。智能体可沟通网络的生长机制蕴含于“共在”的交往逻辑之中,并在数智空间的场域融通、主体身份的角色相通、关系交往的意义互通中得以调适。同时,可沟通型智能体通过“协商—共识”的技术化转型、“感知—共情”的图式化耦合与“认知—共享”的智能化延展,构建起人与智能体互动的协同框架,推动人与智能体交往从工具理性向价值共生跃迁,预示着媒介智能化社会正朝着“可共通性”的新型路径迈进。对此,我们应以动态视野把握可沟通型智能体的技术实践,在守护人类主体性与承认技术拟主体权利的价值张力之间,为媒介智能化浪潮开辟更具包容性的理解空间。 展开更多
关键词 媒介智能化 可沟通型智能体 人工智能 交往媒介 可沟通性
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An Intelligent Agent Approach to Adaptive Project Management 认领 引用 被引量：2
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作者 I. Ourdev S. AbouRizk 《Tsinghua Science and Technology》 EI CAS 2008年第S1期121-125,共5页
This paper presents the initial steps to integrating a distributed discrete event simulation system with a framework for intelligent software agents. The resulting system has a simulation component that is based on th... This paper presents the initial steps to integrating a distributed discrete event simulation system with a framework for intelligent software agents. The resulting system has a simulation component that is based on the high-level architecture (HLA) and an agent component that implements the belief-desire-intention (BDI) approach to agent modelling. The architecture is connected to a real-time information source. The framework was successfully applied to a real-life monitoring system for a tunnel-boring machine excavation project that helped with forecasting and managing the project timelines in response to the changes in the uncertain excavation environment. This project is presented as a test case and demonstrates encouraging results for integrative modelling of large-scale problems with elements of uncertainty. 展开更多
关键词 intelligent agents adaptive project management belief-desire-intention (BDI) high-level architecture (HLA) excavation project discrete event simulation Bayesian modelling uncertainty
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MULTI-AGENT COMPUTER AIDED ASSEMBLY PROCESS PLANNING SYSTEM FOR SHIP HULL 认领 引用
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作者 Zhang Shijie Jing Shuang Shenyang Institute of Automation, Chinese Academy of Sciences 《Chinese Journal of Mechanical Engineering》 EI CAS 2001年第1期57-61,共5页
A multi agent computer aided assembly process planning system (MCAAPP) for ship hull is presented. The system includes system framework, global facilitator, the macro agent structure, agent communication language, age... A multi agent computer aided assembly process planning system (MCAAPP) for ship hull is presented. The system includes system framework, global facilitator, the macro agent structure, agent communication language, agent oriented programming language, knowledge representation and reasoning strategy. The system can produce the technological file and technological quota, which can satisfy the production needs of factory. 展开更多
关键词 Multi agent Intelligent agent Computer aided process planning Knowledge representation
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Teaching Large Model Methods in Transportation Graduate Education:A Scenario-Driven Curriculum Reform 认领 引用
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作者 Qingying Lai Xinyue Xu +2 位作者 Chunyan Li Shasha Liu Liujiang Kang 《Journal of Contemporary Educational Research》 2026年第6期155-163,共9页
Generative artificial intelligence is reshaping transportation data analysis,knowledge service,and decision support,but graduate courses in transportation programs still need a systematic way to connect large model me... Generative artificial intelligence is reshaping transportation data analysis,knowledge service,and decision support,but graduate courses in transportation programs still need a systematic way to connect large model methods with research training.This paper presents a curriculum reform design for Application and Practice of Large Models in Transportation,a 32-hour elective course for first-year master’s students.The reform responds to four problems:fragmented method learning,weak task modeling for multi-source transportation data,insufficient evidence for projectbased outputs,and inadequate training in trustworthy use.Based on outcome-based education,the course reconstructs learning objectives,teaching modules,scenario-based projects,and assessment evidence.Prompt design,retrievalaugmented generation,agent-based tool use,experimental evaluation,and academic norms are organized into an integrated pathway.The design emphasizes reproducible project records,data cards,model evaluation cards,and system risk cards.It provides a practical framework for cultivating transportation problem formulation,intelligent application development,research reporting,and trustworthy artificial intelligence awareness. 展开更多
关键词 Research training Knowledge retrieval Intelligent agents Outcome-based assessment Reproducible evidence Trustworthy artificial intelligence
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