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“大数据、大模型、大计算”全新范式与舆情精准研判:理论和Multi-Agent实证两个向度的探索 被引量:1
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作者 丁晓蔚 戚庆燕 刘梓航 《传媒观察》 2025年第2期28-42,共15页
本文探讨了“大数据、大模型、大计算”全新范式在舆情精准研判中的相关理论和应用实证。理论部分论述了该范式的概念和所涉关系,分析了其与Multi-Agent多智能体系统之间的联系。实证部分基于此范式在舆情研判中的应用案例,提出Multi-Ag... 本文探讨了“大数据、大模型、大计算”全新范式在舆情精准研判中的相关理论和应用实证。理论部分论述了该范式的概念和所涉关系,分析了其与Multi-Agent多智能体系统之间的联系。实证部分基于此范式在舆情研判中的应用案例,提出Multi-Agent多智能体协作驱动的舆情分析框架,构建全新的舆情研判流程,能有效应对动态变化的舆情环境。采用Multi-Agent对热点事件是否上热搜进行预测和检验,并与传统大模型和BERT模型进行对比分析。研究表明:Multi-Agent在应对涉及公众情感共鸣和社会性广泛事件时具有显著优势,能通过多角度的综合评估提升预测精度和鲁棒性。通过实证研究验证了Multi-Agent在舆情监测中的重要价值,为未来舆情精准研判提供了新的技术路径。 展开更多
关键词 “大数据、大模型、大计算”全新范式 multi-agent多智能体系统 舆情精准研判
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基于Multi‑Agent模型的电力物联网无线覆盖测试方法研究
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作者 朱志康 龚庆武 +3 位作者 刘剑 马世乾 何潇 闫立东 《武汉大学学报(工学版)》 北大核心 2025年第7期1162-1171,共10页
为解决传统测试系统自主性较差、测试覆盖率和网络通讯资源利用率较低的问题,提出基于Multi-Agent模型的电力物联网无线覆盖测试方法,并给出测试方法的原理、无线连接方式、系统结构以及测试过程。通过NetLogo 3D软件建立基于Multi-Agen... 为解决传统测试系统自主性较差、测试覆盖率和网络通讯资源利用率较低的问题,提出基于Multi-Agent模型的电力物联网无线覆盖测试方法,并给出测试方法的原理、无线连接方式、系统结构以及测试过程。通过NetLogo 3D软件建立基于Multi-Agent模型的电力物联网无线覆盖测试仿真模型。仿真结果表明:与传统测试方法相比,所提方法具有更低的无线电发射功耗和带宽占用,测试过程无需人工操作测试装置,测试效率、自主性以及测试覆盖率都得到了较大提高。 展开更多
关键词 电力物联网 无线覆盖测试 multi-agent 分布式 NetLogo 3D
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Predefined-Time Constrained Optimization of Multi-Agent Systems Under Impulsive Effects
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作者 Zhuyan Jiang Xiaoyang Liu +1 位作者 Xiang Jiang Jinde Cao 《IEEE/CAA Journal of Automatica Sinica》 2025年第1期255-257,共3页
Dear Editor,This letter investigates predefined-time optimization problems(OPs) of multi-agent systems(MASs), where the agent of MASs is subject to inequality constraints, and the team objective function accounts for ... Dear Editor,This letter investigates predefined-time optimization problems(OPs) of multi-agent systems(MASs), where the agent of MASs is subject to inequality constraints, and the team objective function accounts for impulse effects. Firstly, to address the inequality constraints,the penalty method is introduced. Then, a novel optimization strategy is developed, which only requires that the team objective function be strongly convex. 展开更多
关键词 inequality constraints predefined time optimization team objective function multi agent systems penalty method impulse effects agent mass optimization strategy
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Time-Varying Formation Tracking Control of Heterogeneous Multi-Agent Systems With Intermittent Communications and Directed Switching Networks
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作者 Yuhan Wang Zhuping Wang +1 位作者 Hao Zhang Huaicheng Yan 《IEEE/CAA Journal of Automatica Sinica》 2025年第1期294-296,共3页
Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present some sufficient conditions for the exponential stability of a particular category of switched systems. 展开更多
关键词 switched systems time varying formation tracking directed switching networks heterogeneous multi agent systems intermittent communications exponential stability
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Data-Driven Fault-Tolerant Bipartite Consensus Tracking for Multi-Agent Systems With a Non-Autonomous Leader
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作者 Yan Zhou Guanghui Wen +1 位作者 Jialing Zhou Tao Yang 《IEEE/CAA Journal of Automatica Sinica》 2025年第1期279-281,共3页
Dear Editor,This letter studies the bipartite consensus tracking problem for heterogeneous multi-agent systems with actuator faults and a leader's unknown time-varying control input. To handle such a problem, the ... Dear Editor,This letter studies the bipartite consensus tracking problem for heterogeneous multi-agent systems with actuator faults and a leader's unknown time-varying control input. To handle such a problem, the continuous fault-tolerant control protocol via observer design is developed. In addition, it is strictly proved that the multi-agent system driven by the designed controllers can still achieve bipartite consensus tracking after faults occur. 展开更多
关键词 fault tolerant actuator faults multi agent systems bipartite consensus tracking data driven bipartite consensus non autonomous leader observer design
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Towards Eco-Friendly and Multifunctional Marine Antifouling Agents-Natural Capsaicin-Inspired Amide Derivatives
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作者 WANG Xuan MO Weijun +3 位作者 ZHANG Guanglong JIANG Xiaohui CHEN Guobo YU Liangmin 《Journal of Ocean University of China》 2025年第3期695-706,共12页
All maritime industries are plagued by marine biofouling pollution,which causes large economic and environmental costs.Therefore,there is an urgent need for ecofriendly alternatives that can effectively reduce the neg... All maritime industries are plagued by marine biofouling pollution,which causes large economic and environmental costs.Therefore,there is an urgent need for ecofriendly alternatives that can effectively reduce the negative consequences of biofouling pollution.This study aimed to produce novel capsaicin-inspired amide derivatives(CIADs)with multifunctional antifouling features by introducing amide compounds to aromatic compounds via a Friedel-Crafts alkylation reaction.The structure of the CIADs was characterized using FTIR,1H NMR,13C NMR,and HRMS,and the comprehensive antifouling capacity was determined by thermal stability,anti-ultraviolet,antibacterial,anti-algal,and marine field experiments.CIADs showed good thermal stability and did not show obvious weight loss before 226°C.2,4-dihydroxy-3,5-diphenylimidemet-hylbenzophenone(DDB)had an excellent ultraviolet absorption effect,which was even better than that of 2-hydroxy-4-(octyloxy)benzophenone.The antibacterial and anti-algal rates of N-(2,4-dimethyl-3-chloro-5-benzamide-methyl-6-hydroxybenzyl)benzamide(NDCBHB)were more than 99.5%and 64.0%,respectively,and the surface of antifouling coating with NDCBHB(NDCBHB-AC)was covered with only a small amount of sludge and biofilm,its antifouling effect was better than that of chlorothalonil.The above work provides a reference for preparing green and multifunctional antifouling agents. 展开更多
关键词 CAPSAICIN green product antifouling agent ECO-FRIENDLY multiFUNCTION
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A method for modeling and evaluating the interoperability of multi-agent systems based on hierarchical weighted networks
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作者 DONG Jingwei TANG Wei YU Minggang 《Journal of Systems Engineering and Electronics》 2025年第3期754-767,共14页
Multi-agent systems often require good interoperability in the process of completing their assigned tasks.This paper first models the static structure and dynamic behavior of multiagent systems based on layered weight... Multi-agent systems often require good interoperability in the process of completing their assigned tasks.This paper first models the static structure and dynamic behavior of multiagent systems based on layered weighted scale-free community network and susceptible-infected-recovered(SIR)model.To solve the problem of difficulty in describing the changes in the structure and collaboration mode of the system under external factors,a two-dimensional Monte Carlo method and an improved dynamic Bayesian network are used to simulate the impact of external environmental factors on multi-agent systems.A collaborative information flow path optimization algorithm for agents under environmental factors is designed based on the Dijkstra algorithm.A method for evaluating system interoperability is designed based on simulation experiments,providing reference for the construction planning and optimization of organizational application of the system.Finally,the feasibility of the method is verified through case studies. 展开更多
关键词 complex network agent INTEROPERABILITY susceptible-infected-recovered model dynamic Bayesian network
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Phytochemicals as Multi-Target Therapeutic Agents for Oxidative Stress-Driven Pathologies:Mechanisms,Synergies,and Clinical Prospects
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作者 Bismillah Mubeen Ammarah Hasnain +7 位作者 Syed Atif Hasan Naqvi Fahad Hakim Syed Sheharyar Hassan Naqvi Muhammad Zeeshan Hassan Muhammad Umer Iqbal Mahmoud Moustafa Mohammed O.Alshaharni Mingzheng Duan 《Phyton-International Journal of Experimental Botany》 2025年第7期1941-1971,共31页
Plants have long served as a cornerstone for drug discovery,offering a vast repertoire of bioactive compounds with proven efficacy in combating oxidative stress,a pivotal driver of chronic diseases such as cancer,diab... Plants have long served as a cornerstone for drug discovery,offering a vast repertoire of bioactive compounds with proven efficacy in combating oxidative stress,a pivotal driver of chronic diseases such as cancer,diabetes,cardiovascular disorders,and neurodegenerative conditions.This review synthesizes current knowledge on plant-derived antioxidants,emphasizing their mechanisms,therapeutic potential,and quantitative efficacy validated through standardized assays.Key phytochemicals,including polyphenols,carotenoids,flavonoids,and terpenoids,neutralize reactive oxygen species(ROS)through radical scavenging,enzyme modulation,and gene regulation.For instance,lutein,a carotenoid found in leafy greens,demonstrates potent antioxidant activity with IC50 values of 1.75μg/mL against hydroxyl radicals and 2.2μg/mL in lipid peroxidation inhibition,underscoring its role in mitigating cardiovascular and ocular diseases.Similarly,quercetin,a ubiquitous flavonoid in onions and berries,exhibits remarkable ROS-scavenging capacity,with IC50 values of 0.55μg/mL,2,2-Diphenyl-1-picrylhydrazyl(DPPH)and 1.17μg/mL,2,2′-Azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)(ABTS),supporting its use in reducing inflammation and neurodegeneration.The therapeutic promise of these compounds extends to disease-specific applications.Limonoids from citrus fruits,such as limonin(IC_(50)15-31μg/mL),enhance Phase II detoxification enzymes,offering protection against chemical carcinogens.Sulforaphane,a glucosinolate derived from cruciferous vegetables,shows potent anticancer activity with an IC50 of 85.66 mg in DPPH radical scavenging,whileβ-sitosterol(IC_(50)1.43-2.42 mM)inhibits tumor proliferation and cholesterol synthesis.Synergistic interactions further amplify their efficacy:phytoestrogens like genistein(IC_(50)13.00 ppm)and terpenoids such asα-pinene(IC_(50)12.57 mg/mL)collectively enhance antiinflammatory and antimicrobial responses,illustrating the multi-targeted nature of plant-based therapies.Beyond disease prevention,these compounds address age-related decline.Ascorbic acid(vitamin C),with an IC50 of 11.81μg/mL for antioxidant activity,mitigates skin aging and accelerates wound healing,while seleniumnanoparticles(IC_(50)0.437μg/mL)bolster immune function and reduce chemotherapy-induced toxicity.Dietary fibers,exemplified by sugar beet fibers(IC_(50)52.32μg/mL for DPPH scavenging),further contribute to cardiovascular health by lowering Low-Density Lipoprotein(LDL)cholesterol.This review not only catalogs the antioxidant prowess of phytochemicals but also highlights their translational potential.Advances in nanotechnology,such as nano-formulated curcumin,have overcome bioavailability challenges,enhancing clinical applicability.By integrating quantitative metrics(e.g.,IC50,radical scavenging rates)with mechanistic insights,this work bridges the gap between traditional knowledge and modern pharmacology. 展开更多
关键词 Natural antioxidants therapeutic agents reactive oxygen species(ROS) POLYPHENOLS FLAVONOIDS cancer and diabetes
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基于Multi-Agent的无人机集群体系自主作战系统设计 被引量:5
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作者 张堃 华帅 +1 位作者 袁斌林 杜睿怡 《系统工程与电子技术》 EI CSCD 北大核心 2024年第4期1273-1286,共14页
针对无人集群自主作战体系设计中的关键问题,提出基于Multi-Agent的无人集群自主作战系统设计方法。建立无人集群各节点的Agent模型及其推演规则;对于仿真系统模块化和通用化的需求,设计系统互操作式接口和无人集群自主作战的交互关系;... 针对无人集群自主作战体系设计中的关键问题,提出基于Multi-Agent的无人集群自主作战系统设计方法。建立无人集群各节点的Agent模型及其推演规则;对于仿真系统模块化和通用化的需求,设计系统互操作式接口和无人集群自主作战的交互关系;开展无人集群系统仿真推演验证。仿真结果表明,所提设计方案不仅能够有效开展并完成自主作战网络生成-集群演化-效能评估的全过程动态演示验证,而且能够通过重复随机试验进一步评估无人集群的协同作战效能,最后总结了集群协同作战的策略和经验。 展开更多
关键词 multi-agent 无人集群 体系设计 协同作战
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Agent智能体:智能财务发展的下一个技术热点 被引量:5
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作者 刘勤 刘海燕 《财会月刊》 北大核心 2025年第9期30-35,共6页
尽管机器人流程自动化、神经网络、基于规则和知识图谱的系统以及大语言模型在智能财务领域得到了有效应用,但其在处理复杂任务、动态决策及多主体协作方面仍存在瓶颈,难以满足现代财务对精准与实时管理和决策的需求。Agent智能体作为... 尽管机器人流程自动化、神经网络、基于规则和知识图谱的系统以及大语言模型在智能财务领域得到了有效应用,但其在处理复杂任务、动态决策及多主体协作方面仍存在瓶颈,难以满足现代财务对精准与实时管理和决策的需求。Agent智能体作为一种新兴的人工智能技术,整合了大语言模型与丰富的技术工具箱,能够自主实现智能财务从决策建议到业务落地的全链路穿透,是突破现有技术瓶颈的利器。本文在回顾智能财务发展历程的基础上阐述了Agent智能体的基本功能和系统架构,并借助对应用场景的探讨分析了Agent智能体推动财务智能化升级的可行性。本文认为,Agent智能体凭借其自主决策、动态协同与多目标优化能力,将推动财务智能化向更高层次发展,并将助力企业提升决策效率与精准度,进一步实现资源优化配置与可持续发展。 展开更多
关键词 agent智能体 智能财务 人工智能 应用场景
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基于多Agent模型的网络协同探测系统
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作者 刘妍蕾 李勇 +2 位作者 韩俊飞 王鹏 王蓓 《沈阳工业大学学报》 北大核心 2025年第2期265-272,共8页
【目的】在网络技术迅猛发展的背景下,传统网络探测技术因效率和准确性不高,难以适应复杂的网络管理需求。尤其在电力通信网中,网络流量、结构和负载的统计与管理变得复杂,导致网络安全事件发生时,网络管理技术人员难以迅速提出有效的... 【目的】在网络技术迅猛发展的背景下,传统网络探测技术因效率和准确性不高,难以适应复杂的网络管理需求。尤其在电力通信网中,网络流量、结构和负载的统计与管理变得复杂,导致网络安全事件发生时,网络管理技术人员难以迅速提出有效的补救方案,影响互联网服务质量和社会秩序。因此,提出了基于多Agent模型的网络协同探测系统,旨在提高网络探测的效率和准确性。【方法】通过综合使用主动和被动探测的网络拓扑算法,并集成多种Agent和动态决策机制,显著提升了网络探测的效率和准确性。主动式探测技术利用Traceroute算法发现网络中的活动设备和开放端口,而被动式探测技术根据SNMP等协议收集网络流量中的详细信息,两者结合获得更完整的网络资产视图。设计了融合主动式与被动式网络探测技术的模块部署与技术架构,并建立了分布式探测系统组织结构。【结果】仿真实验与分析结果表明,在相同测试环境和流程下,与单一的被动式和主动式网络探测系统相比,网络协同探测系统在耗时较少的情况下,具有更强的通信性能和更短的探测时间。【结论】网络协同探测系统在仿真实验中展现出优越的通信性能和探测效率,能够在短时间内探知到更多的主机,且数据流量更大,覆盖范围更广,进一步验证了该系统的可行性和有效性。实际测试中,在包含多种操作系统的复杂网络环境下,基于多Agent模型的网络协同探测系统探知到的主机数量最多,且能够明确主机操作系统的组成。该系统不仅提高了网络探测的效率和准确性,而且对实时性要求较高的应用场景具有重要意义,有助于提升网络管理的响应速度和处理能力,对网络安全和优化具有重要的理论和实践价值。对于能够满足广泛工程需求的网络协同探测系统而言,其理论机理及探测时间仍然存在一定的优化和提升空间,这也是网络探测研究领域的核心问题。 展开更多
关键词 网络探测 agent模型 拓扑信息 决策算法 简单网络管理协议 地址解析协议 通信机制
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基于Multi-Agent的水电站变压器故障诊断系统
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作者 乔丹 马鹏 王琦 《自动化技术与应用》 2024年第7期58-61,65,共5页
为了精准、快速完成水电站变压器的故障诊断,设计基于Multi-Agent的水电站变压器故障诊断系统。变压器状态监控agent将检测到的变压器故障信息发送给系统管理agent,系统管理agent通过通信agent将变压器故障信息发送给变压器故障诊断age... 为了精准、快速完成水电站变压器的故障诊断,设计基于Multi-Agent的水电站变压器故障诊断系统。变压器状态监控agent将检测到的变压器故障信息发送给系统管理agent,系统管理agent通过通信agent将变压器故障信息发送给变压器故障诊断agent,变压器故障诊断agent利用小波变换方法提取变压器故障特征,并将其作为IFOA-SVM模型输入,完成变压器故障分类后,获取变压器故障诊断结果,该结果通过通信agent显示给用户。实验表明,该系统可有效诊断变压器故障诊断,诊断成功率受系统故障信息丢失率的影响较小,诊断耗时、耗能小,并具有较高故障诊断成功率。 展开更多
关键词 multi-agent 水电站 变压器 故障诊断 小波变换
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赛教协同模式下基于Agent和改进CNN的多源异构网络信息融合技术
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作者 杨鹏 《自动化与仪器仪表》 2025年第5期21-25,共5页
在教育信息化进程中,赛教协同模式的发展受到多源异构数据整合能力的限制,而数据孤岛问题导致信息资源浪费和决策效率下降。为应对这一挑战,提出了一种融合多Agent系统和改进卷积神经网络的数据融合技术。实验显示,研究所提方法在自建... 在教育信息化进程中,赛教协同模式的发展受到多源异构数据整合能力的限制,而数据孤岛问题导致信息资源浪费和决策效率下降。为应对这一挑战,提出了一种融合多Agent系统和改进卷积神经网络的数据融合技术。实验显示,研究所提方法在自建数据集训练集中的准确率比单一模型分别增加了15.85%、9.20%。研究提出的混合模型平均增益为38.37%,而邓普斯特-谢弗证据理论和粗糙集理论的平均增益仅为12.50%、16.81%。结果表明,构建多Agent系统采集多源异构数据信息,并引入长短期记忆网络对卷积神经网络进行改进从而进行多源异构数据的融合,具有合理性和有效性。研究提出的方法能够提高模型在多源异构数据中的融合效率和融合质量,促进了教育信息化中的赛教协同模式智能化发展。 展开更多
关键词 agent CNN LSTM 数据融合 教育信息化 赛教协同
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基于AI Agents的高校财务数智化转型研究
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作者 陈冬林 梁应梅 《武汉理工大学学报(社会科学版)》 2025年第5期88-95,共8页
在国家政策驱动与高校高质量发展需求的双重背景下,传统高校财务管理模式面临任务复杂、流程低效与决策滞后等瓶颈。文章以人工智能技术为核心,提出基于AI Agents的高校财务数智化转型框架,通过“基础设施层-数据层-智能协作层-应用层... 在国家政策驱动与高校高质量发展需求的双重背景下,传统高校财务管理模式面临任务复杂、流程低效与决策滞后等瓶颈。文章以人工智能技术为核心,提出基于AI Agents的高校财务数智化转型框架,通过“基础设施层-数据层-智能协作层-应用层”分层架构与任务驱动的多智能体协同机制,整合大语言模型等技术,实现预算管理等场景的流程自动化与动态治理。研究表明,该框架可显著提升高校财务效率、强化风险预警能力,推动高校财务数智化转型,助推学校高质量发展。 展开更多
关键词 智能财务 高校财务 数智化转型 人工智能 agent智能体
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智能体Agent在数学命题中的实践与探索——以智能体“高考数学命题助手”为例
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作者 陈富军 《中学数学月刊》 2025年第6期1-4,共4页
随着教育信息化与人工智能技术的深度融合,智能体Agent技术正逐步成为教育创新的重要驱动力.本文基于“扣子”平台,以“高考数学命题助手”智能体的开发与实践为例,系统阐述了智能体在数学命题中的技术路径与应用价值.通过需求分析、流... 随着教育信息化与人工智能技术的深度融合,智能体Agent技术正逐步成为教育创新的重要驱动力.本文基于“扣子”平台,以“高考数学命题助手”智能体的开发与实践为例,系统阐述了智能体在数学命题中的技术路径与应用价值.通过需求分析、流程编排、知识库构建、调试优化及发布部署等环节的设计,该智能体实现了多类型试题生成、模块化试卷定制、高考模拟卷自动编排等功能.实践表明,智能体技术可显著提升命题效率,增强试题科学性,并推动教育资源均衡化.本研究为人工智能赋能教育评价改革提供了一个可借鉴的范式. 展开更多
关键词 智能体agent 高考数学 命题助手
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Adaptive Consensus of Uncertain Multi-Agent Systems With Unified Prescribed Performance 被引量:1
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作者 Kun Li Kai Zhao Yongduan Song 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第5期1310-1312,共3页
Dear Editor,An adaptive consensus control algorithm for uncertain multi-agent systems(MAS),capable of guaranteeing unified prescribed performance,is presented in this letter.Unlike many existing prescribed performance... Dear Editor,An adaptive consensus control algorithm for uncertain multi-agent systems(MAS),capable of guaranteeing unified prescribed performance,is presented in this letter.Unlike many existing prescribed performance related works,the developed control exhibits some features.Firstly,a distributed prescribed time observer is introduced so that not only each follower is able to estimate the leader’s signal within a predetermined time,but also the control design for each agent is independent with its neighbors. 展开更多
关键词 agent PRESCRIBED UNCERTAIN
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Mutual information oriented deep skill chaining for multi‐agent reinforcement learning
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作者 Zaipeng Xie Cheng Ji +4 位作者 Chentai Qiao WenZhan Song Zewen Li Yufeng Zhang Yujing Zhang 《CAAI Transactions on Intelligence Technology》 SCIE EI 2024年第4期1014-1030,共17页
Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents.However,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experi... Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents.However,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experiences that hinder convergence,resulting in ineffective training performance for multi‐agent systems.To tackle this issue,a novel reinforcement learning scheme,Mutual Information Oriented Deep Skill Chaining(MioDSC),is proposed that generates an optimised cooperative policy by incorporating intrinsic rewards based on mutual information to improve exploration efficiency.These rewards encourage agents to diversify their learning process by engaging in actions that increase the mutual information between their actions and the environment state.In addition,MioDSC can generate cooperative policies using the options framework,allowing agents to learn and reuse complex action sequences and accelerating the convergence speed of multi‐agent learning.MioDSC was evaluated in the multi‐agent particle environment and the StarCraft multi‐agent challenge at varying difficulty levels.The experimental results demonstrate that MioDSC outperforms state‐of‐the‐art methods and is robust across various multi‐agent system tasks with high stability. 展开更多
关键词 artificial intelligence techniques decision making intelligent multiagent systems
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生成式AI大模型结合知识库与AI Agent开展知识挖掘的探析 被引量:3
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作者 赵浜 曹树金 《图书情报知识》 北大核心 2025年第4期88-101,共14页
[目的/意义]探索生成式AI大模型结合知识库与AI Agent开展知识挖掘这一情报领域典型业务的方法、工具、技术框架与应用实践,为深入探索大模型在情报领域的专业化、场景化应用提供参考。[研究设计/方法]系统调研分析大模型结合知识库与AI... [目的/意义]探索生成式AI大模型结合知识库与AI Agent开展知识挖掘这一情报领域典型业务的方法、工具、技术框架与应用实践,为深入探索大模型在情报领域的专业化、场景化应用提供参考。[研究设计/方法]系统调研分析大模型结合知识库与AI Agent相关技术与工具,开展针对科技文献的知识挖掘及测试。[结论/发现]大模型作为逻辑中枢结合知识库与AI Agent链接领域知识与特定工具,可自主细分知识挖掘任务,更有全流程自主化、智能化完成的能力。[创新/价值]从概念、方法、技术框架以及开发应用等角度较为系统地探析基于大模型开展知识挖掘任务的智能手段,为未来情报领域相关实践和研究提供一定的启示。 展开更多
关键词 生成式AI 大模型 知识库 AI agent 知识挖掘
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便携式拉曼光谱仪结合CGAN-Multi-CNN模型的矿物精确识别方法研究
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作者 向艳芳 石红 +1 位作者 张家臣 蔡耀仪 《分析测试学报》 北大核心 2025年第6期1075-1085,共11页
野外环境下天然未知矿物的快速识别受限于不同光谱设备分辨率差异、样本量不足导致的模型泛化能力弱以及高维复杂光谱特征的提取能力有限这三个难题。为了解决上述难题,该文设计并实现了一种多尺度卷积神经网络结合光谱样本生成的拉曼... 野外环境下天然未知矿物的快速识别受限于不同光谱设备分辨率差异、样本量不足导致的模型泛化能力弱以及高维复杂光谱特征的提取能力有限这三个难题。为了解决上述难题,该文设计并实现了一种多尺度卷积神经网络结合光谱样本生成的拉曼光谱分类模型,并联立便携式拉曼光谱仪实现了野外未知矿物的快速识别。首先,三次样条曲线拟合算法被用于实现不同设备所采集光谱的维数匹配,从而消除不同光谱设备之间采样分辨率的差异。其次,全球矿物光谱库包含1648类矿物的5668个光谱样本被送入生成对抗网络进行训练并产生15000个扩增样本,从而缓解了数据稀缺性对模型分类性能的制约。此外,一种新的多尺度深度卷积网络被用于同步提取拉曼光谱的宽峰与窄峰特征,从而增强复杂光谱的表征能力。实验中将所提出的模型与k-近邻(k-NN)、支持向量机(SVM)和随机森林(RF)等几类经典机器学习模型对未知矿物的识别性能进行对比。结果表明,所提出的多尺度卷积神经网络结合光谱样本生成的分类模型对未知矿物拉曼光谱的判别准确率远超其他传统机器学习模型,其top-1和top-3的准确率值分别为93.26%和98.94%。使用所提出的模型结合便携式拉曼光谱系统对50类未知天然矿石样本进行了识别,其准确率达到100%,单个样本的识别时间仅为1~2 min,体现了该方法快速、精确和无需取样制样的优势。 展开更多
关键词 拉曼光谱 矿物识别 重采样方法 多尺度卷积网络 条件生成对抗网络(CGAN)样本生成
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Aging-induced memory loss due to decreased N1-acetyl-5-methoxykynuramine,a melatonin metabolite,in the hippocampus:a potential prophylactic agent for dementia 被引量:1
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作者 Kazuki Watanabe Atsuhiko Hattori 《Neural Regeneration Research》 SCIE CAS 2025年第6期1705-1706,共2页
Melatonin(N-acetyl-5-methoxytryptamine)is known as the hormone of darkness because it is synthesized at night and involved in regulating the circadian clock.The hormone is primarily synthesized by the vertebrate pinea... Melatonin(N-acetyl-5-methoxytryptamine)is known as the hormone of darkness because it is synthesized at night and involved in regulating the circadian clock.The hormone is primarily synthesized by the vertebrate pineal gland,but is ubiquitous among invertebrates,unicellular organisms,plants,and even cyanobacteria(Hattori and Suzuki,2024).Melatonin is well-conserved evolutionarily and possesses several physiological functions,such as immune response,bone and glucose metabolism,and memory formation besides regulating the circadian rhythm. 展开更多
关键词 metabolism primarily agent
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