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Research on the Application of Intelligent Evaluation and Teacher-student Cooperation Assessment System in Teaching English Writing
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作者 Lisha Wang 《Review of Educational Theory》 2021年第3期39-45,共7页
Low efficiency in teaching and time-consuming in writing evaluation are two big problems for college English teachers.Therefore,it is necessary to create a new teaching model to solve these problems existing in tradit... Low efficiency in teaching and time-consuming in writing evaluation are two big problems for college English teachers.Therefore,it is necessary to create a new teaching model to solve these problems existing in traditional classroom-based teaching.This research adopts the research methods of test comparison before and after the students’composition experiment,questionnaire and semi-open interviews.Empirical research on a new teaching model that integrates the intelligent composition review and reform system represented by Piangai.com and the collaborative evaluation of teachers and students is conducted.The research results show that the new writing teaching model improves the quality of students’writing,promotes students’learning initiative,and enhances students’writing self-efficacy.This writing teaching model provides ideas for solving the problem of time-consuming and inefficient English writing teaching in large classes. 展开更多
关键词 intelligence evaluation Teacher-student cooperation assessment English writing
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Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots
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作者 Peng Jiang Christian Sonne +2 位作者 Wangliang Li Fengqi You Siming You 《Engineering》 SCIE EI CAS CSCD 2024年第9期202-210,共9页
Intelligent chatbots powered by large language models(LLMs)have recently been sweeping the world,with potential for a wide variety of industrial applications.Global frontier technology companies are feverishly partici... Intelligent chatbots powered by large language models(LLMs)have recently been sweeping the world,with potential for a wide variety of industrial applications.Global frontier technology companies are feverishly participating in LLM-powered chatbot design and development,providing several alternatives beyond the famous ChatGPT.However,training,fine-tuning,and updating such intelligent chatbots consume substantial amounts of electricity,resulting in significant carbon emissions.The research and development of all intelligent LLMs and software,hardware manufacturing(e.g.,graphics processing units and supercomputers),related data/operations management,and material recycling supporting chatbot services are associated with carbon emissions to varying extents.Attention should therefore be paid to the entire life-cycle energy and carbon footprints of LLM-powered intelligent chatbots in both the present and future in order to mitigate their climate change impact.In this work,we clarify and highlight the energy consumption and carbon emission implications of eight main phases throughout the life cycle of the development of such intelligent chatbots.Based on a life-cycle and interaction analysis of these phases,we propose a system-level solution with three strategic pathways to optimize the management of this industry and mitigate the related footprints.While anticipating the enormous potential of this advanced technology and its products,we make an appeal for a rethinking of the mitigation pathways and strategies of the life-cycle energy usage and carbon emissions of the LLM-powered intelligent chatbot industry and a reshaping of their energy and environmental implications at this early stage of development. 展开更多
关键词 Large language models intelligent chatbots Carbon emissions Energy and environmental footprints Life-cycle assessment Global cooperation
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Resource Allocation for IRS Assistedmm Wave Wireless Powered Sensor Networks with User Cooperation
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作者 Yonghui Lin Zhengyu Zhu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第1期663-677,共15页
In this paper,we investigate IRS-aided user cooperation(UC)scheme in millimeter wave(mmWave)wirelesspowered sensor networks(WPSN),where two single-antenna users are wireless powered in the wireless energy transfer(WET... In this paper,we investigate IRS-aided user cooperation(UC)scheme in millimeter wave(mmWave)wirelesspowered sensor networks(WPSN),where two single-antenna users are wireless powered in the wireless energy transfer(WET)phase first and then cooperatively transmit information to a hybrid access point(AP)in the wireless information transmission(WIT)phase,following which the IRS is deployed to enhance the system performance of theWET andWIT.We maximized the weighted sum-rate problem by jointly optimizing the transmit time slots,power allocations,and the phase shifts of the IRS.Due to the non-convexity of the original problem,a semidefinite programming relaxation-based approach is proposed to convert the formulated problem to a convex optimization framework,which can obtain the optimal global solution.Simulation results demonstrate that the weighted sum throughput of the proposed UC scheme outperforms the non-UC scheme whether equipped with IRS or not. 展开更多
关键词 intelligent reflecting surface millimeter wave wireless powered sensor networks user cooperation resource allocation
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An Optimal Deep Learning for Cooperative Intelligent Transportation System 被引量:1
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作者 K.Lakshmi Srinivas Nagineni +4 位作者 E.Laxmi Lydia A.Francis Saviour Devaraj Sachi Nandan Mohanty Irina V.Pustokhina Denis A.Pustokhin 《Computers, Materials & Continua》 SCIE EI 2022年第7期19-35,共17页
Cooperative Intelligent Transport System(C-ITS)plays a vital role in the future road traffic management system.A vital element of C-ITS comprises vehicles,road side units,and traffic command centers,which produce a ma... Cooperative Intelligent Transport System(C-ITS)plays a vital role in the future road traffic management system.A vital element of C-ITS comprises vehicles,road side units,and traffic command centers,which produce a massive quantity of data comprising both mobility and service-related data.For the extraction of meaningful and related details out of the generated data,data science acts as an essential part of the upcoming C-ITS applications.At the same time,prediction of short-term traffic flow is highly essential to manage the traffic accurately.Due to the rapid increase in the amount of traffic data,deep learning(DL)models are widely employed,which uses a non-parametric approach for dealing with traffic flow forecasting.This paper focuses on the design of intelligent deep learning based short-termtraffic flow prediction(IDL-STFLP)model for C-ITS that assists the people in various ways,namely optimization of signal timing by traffic signal controllers,travelers being able to adapt and alter their routes,and so on.The presented IDLSTFLP model operates on two main stages namely vehicle counting and traffic flow prediction.The IDL-STFLP model employs the Fully Convolutional Redundant Counting(FCRC)based vehicle count process.In addition,deep belief network(DBN)model is applied for the prediction of short-term traffic flow.To further improve the performance of the DBN in traffic flow prediction,it will be optimized by Quantum-behaved bat algorithm(QBA)which optimizes the tunable parameters of DBN.Experimental results based on benchmark dataset show that the presented method can count vehicles and predict traffic flowin real-time with amaximumperformance under dissimilar environmental situations. 展开更多
关键词 cooperative intelligent transportation systems traffic flow prediction deep belief network deep learning vehicle counting
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Man-Computer Cooperated Intelligent Science and Intelligent Technology 被引量:2
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作者 Dai Ruwei 《工程科学(英文版)》 2005年第3期13-18,共6页
During 1990’s, there were two important events in the science and technology field which highly related to research on artificial intelligence (AI): One was the fifth generation computer project of Japan, and the oth... During 1990’s, there were two important events in the science and technology field which highly related to research on artificial intelligence (AI): One was the fifth generation computer project of Japan, and the other was the intelligent computer project (863-306) of China. After these projects were performed, the realization of “intelligent automation" was transferred and improved. The academician Qian Xuesen has made a speech to summarize the importance of man-computer cooperative information processing, and the aim was not intelligent computer. The man-computer cooperative intelligent systems should be studied and developed. The establishment of a new discipline on intelligent science and intelligent technology is proposed by the author of this article. 展开更多
关键词 智能计算机 计算机协议 人造智能技术 第五代计算机 智能控制 信息处理能力
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Target Path Tracking Method of Intelligent Vehicle Based on Competitive Cooperative Game
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作者 SONG Chongzhi NIU Limin 《Instrumentation》 2022年第1期31-40,共10页
To improve intelligent vehicle drive performance and avoid vehicle side-slip during target path tracking,a linearized four-wheel vehicle model is adopted as a predictive control model,and an intelligent ve-hicle targe... To improve intelligent vehicle drive performance and avoid vehicle side-slip during target path tracking,a linearized four-wheel vehicle model is adopted as a predictive control model,and an intelligent ve-hicle target path tracking method based on a competitive cooperative game is proposed.The design variables are divided into different strategic spaces owned by each player by calculating the affecting factors of the design variables with objective functions and fuzzy clustering.Based on the competitive cooperative game model,each game player takes its payoff as a mono-objective to optimize its own strategic space and obtain the best strategy to deal with others.The best strategies were combined into the game strategy set.Considering the front wheel angle and side slip angle increment constraint,tire side-slip angle,and tire side slip deflection dynamics,it took the path tracking state model was used as the objective,function and the calculation was validated by competitive cooperative game theory.The results demonstrated the effectiveness of the proposed algorithm.The experimental results show that this method can track an intelligent vehicle quickly and steadily and has good real-time per-formance. 展开更多
关键词 intelligent Vehicle Target Path Tracking Competitive cooperative Game Model Predictive Control
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China, France and the Netherlands to Deepen Cooperation on Information Technology and Artificial Intelligence
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《Bulletin of the Chinese Academy of Sciences》 2017年第3期131-131,共1页
On July 11,2017,an agreement was signed in Beijing to renew and strengthen the collaboration between the CAS Institute of Automation(CASIA,China),Institut National de Recherche en Informatique et en Automatique(Inria,... On July 11,2017,an agreement was signed in Beijing to renew and strengthen the collaboration between the CAS Institute of Automation(CASIA,China),Institut National de Recherche en Informatique et en Automatique(Inria,France),and Centrum Wiskunde&Informatica(CWI,the Netherlands),which are the founding members of the Sino-European Laboratory in Computer Science, 展开更多
关键词 CAS China France and the Netherlands to Deepen cooperation on Information Technology and Artificial intelligence
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Intelligent Agent-Based System for Digital Library Information Retrieval 被引量:1
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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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Human-AI Cooperation in Education: Human in Loop and Teaching as leadership 被引量:1
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作者 Feng Chen 《教育技术与创新》 2022年第1期14-25,共12页
Using the differences and complementarities between human intelligence and artificial intelligence(AI),a hybrid-augmented intelligence,that is both stronger than human intelligence and AI,is created through Human-AI C... Using the differences and complementarities between human intelligence and artificial intelligence(AI),a hybrid-augmented intelligence,that is both stronger than human intelligence and AI,is created through Human-AI Cooperation(HAC)for teaching and learning.Human-AI Cooperation is infiltrating into all links of education,and recent research has focused a lot on the impact of teaching,learning,management,and evaluation with Human-AI Cooperation.However,AI still has its limits of intelligence,and cannot cooperate as humans.Thus,it is critical to study the obstacles of Human-AI Cooperation in education,as AI plays a role as a partner,not a tool.This study discussed for the first time how teachers and AI cooperate based on Multiple Intelligences of AI proposed by Andrzej Cichocki and puts forward a new Human-AI Cooperation teaching mode:human in the loop and teaching as leadership.It is proposed that humans in the loop and teaching as leadership can solve the problem that AI cannot cope with complex and dynamic teaching tasks in open situations,as well as the limits of intelligence for AI. 展开更多
关键词 Human-AI cooperation EDUCATION Human in Loop Teaching as leadership Multiagents Multiple intelligences Emotional intelligence Social intelligence Creative intelligence Innovative intelligence Ethical and moral intelligence Hybrid-augmented intelligence
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Cooperative Intelligence for Autonomous Driving
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作者 CHENG Xiang DUAN Dongliang +1 位作者 YANG Liuqing ZHENG Nanning 《ZTE Communications》 2019年第2期44-50,共7页
Autonomous driving is an emerging technology attracting interests from various sectors in recent years.Most of existing work treats autonomous vehicles as isolated individuals and has focused on developing separate in... Autonomous driving is an emerging technology attracting interests from various sectors in recent years.Most of existing work treats autonomous vehicles as isolated individuals and has focused on developing separate intelligent modules.In this paper,we attempt to exploit the connectivity among vehicles and propose a systematic framework to develop autonomous driving techniques.We first introduce a general hierarchical information fusion framework for cooperative sensing to obtain global situational awareness for vehicles.Following this,a cooperative intelligence framework is proposed for autonomous driving systems.This general framework can guide the development of data collection,sharing and processing strategies to realize different intelligent functions in autonomous driving. 展开更多
关键词 AUTONOMOUS driving cooperATIVE intelligENCE information FUSION vehicular COMMUNICATIONS and NETWORKING
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Status and Future Prospect of Intelligent&Connected Vehicles in China
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作者 李克强 《重庆理工大学学报(自然科学)》 CAS 2016年第9期1-1,共1页
Intelligent and Connected Vehicles(ICV)is a new kind of vehicles equipped with advanced sensors,controllers and actuators,and connected by communication devices,i.e.2X(X-vehicle,infrastructure,pedestrian,cloud),with t... Intelligent and Connected Vehicles(ICV)is a new kind of vehicles equipped with advanced sensors,controllers and actuators,and connected by communication devices,i.e.2X(X-vehicle,infrastructure,pedestrian,cloud),with the functionalities of environment sensing,intelligent decision-making and cooperative control.It is safer,cleaner and smarter,and finally can replace the human driver.There are challenges 展开更多
关键词 智能连接工具 传感器 汽车 产品介绍
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Cooperative Distributed Beamforming Design for Multi-RIS Aided Cell-Free Systems
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作者 ZHU Yuting XU Zhiyu ZHANG Hongtao 《ZTE Communications》 2024年第2期99-106,共8页
Cell-free systems significantly improve network capacity by enabling joint user service without cell boundaries,eliminating intercell interference.However,to satisfy further capacity demands,it leads to high-cost prob... Cell-free systems significantly improve network capacity by enabling joint user service without cell boundaries,eliminating intercell interference.However,to satisfy further capacity demands,it leads to high-cost problems of both hardware and power consumption.In this paper,we investigate multiple reconfigurable intelligent surfaces(RISs)aided cell-free systems where RISs are introduced to improve spectrum efficiency in an energy-efficient way.To overcome the centralized high complexity and avoid frequent information exchanges,a cooperative distributed beamforming design is proposed to maximize the weighted sum-rate performance.In particular,the alternating optimization method is utilized with the distributed closed-form solution of active beamforming being derived locally at access points,and phase shifts are obtained centrally based on the Riemannian conjugate gradient(RCG)manifold method.Simulation results verify the effectiveness of the proposed design whose performance is comparable to the centralized scheme and show great superiority of the RISs-aided system over the conventional cellular and cell-free system. 展开更多
关键词 cell-free systems reconfigurable intelligent surface cooperative distributed beamforming Riemannian conjugate gradient
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智能网联环境下的汽车共享平台设计
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作者 牛延强 王燕涛 乔引庄 《汽车文摘》 2025年第1期47-51,共5页
针对传统共享汽车业务发展面临重资产、重运营、收入来源单一的困境,通过分析汽车租赁市场特征,结合自动驾驶和车路协同技术发展现状,针对车辆日租市场的计划性特征,提出了智能网联车共享平台方案。通过系统梳理平台服务和角色,将其划... 针对传统共享汽车业务发展面临重资产、重运营、收入来源单一的困境,通过分析汽车租赁市场特征,结合自动驾驶和车路协同技术发展现状,针对车辆日租市场的计划性特征,提出了智能网联车共享平台方案。通过系统梳理平台服务和角色,将其划分工厂、车源用户、智慧停车场、签约驾驶员、日租和分时租赁6种服务角色,对应于车源流转、日租、分时租赁3个服务环节,基于车路协同网络和车辆跟驰技术尽可能降低车辆调度成本。该方案在突破的传统共享汽车业务困境的同时,有助于车路协同落地前期技术的推广,有利于车电分离模式的普及。 展开更多
关键词 共享汽车 车路协同 智能网联车
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COOPERATIVE DESIGN UNDER CONCURRENT ENGINEERING ENVIRONMENT 被引量:1
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作者 应维云 周儒荣 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 1997年第1期98-103,共6页
This paper outlines a concurrent engineering environment that supports interaction between members of a geographically dispersed multidisciplinary team who is engaged in engineering design activities. Some ideas of en... This paper outlines a concurrent engineering environment that supports interaction between members of a geographically dispersed multidisciplinary team who is engaged in engineering design activities. Some ideas of engineering design, especially conceptual design are reviewed. A deeper scientific analysis of intelligent design is discussed. A new problem solving strategy and methodologies to implement cooperative design are proposed. Finally, a conceptual model of a blackboard system for accomplishing conceptual design automation is presented. Its fundamental principles, system organization and key implementation techniques are investigated in detail. 展开更多
关键词 CAD artificial intelligence cooperative design concurrent engineering conceptual design
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Artificial Intelligence Embedded Object-Oriented Methodology For Model Based Decision Support 被引量:1
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作者 Feng Shan Tian Yuan Li Tong & Cai Jun (Institute of System Engineering, Department of Automatic Control Engineering Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China) 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1996年第1期1-14,共14页
The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strate... The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strategic decision making lead to the achievemellt of optimal path towardsmarket economy from the central planning situation in China. To meet user's various requirements,a series of innovations in software development have been carried out, such as system formalization with OBFRAMEs in an object-oriented paradigm for problem solving automation and techniques of modules intelligent cooperation, hybrid system of reasoning, connectionist framework utilization,etc. Integration technology has been highly emphasized and discussed in this article and an outlook to future software engineering is given in the conclusion section. 展开更多
关键词 Artificial intelligence Object-oriented methodology Knowledge-based systems intelligently cooperative systems Neural nets Case hased reasoning Behavioral science Advancedautomation.
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RESEARCH ON MODEL AND METHOD OF NETWORK-BASED COOPERATIVE COMMERCE CHAIN IN AUTOMOBOLE INDUSTRY
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作者 Xiong LiChen ZichenZhang FeiGu XinjianInstitute of Modem AdvancedProduction Engineering,Zhejiang University,Hangzhou 310027, China 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2003年第4期405-407,共3页
Based on the analysis on the development of the cooperative commerce inautomobile industry, the systematic model of the cooperative commerce chain in automobile industryis illustrated, the flow of agent-based NCCC (ne... Based on the analysis on the development of the cooperative commerce inautomobile industry, the systematic model of the cooperative commerce chain in automobile industryis illustrated, the flow of agent-based NCCC (network-based cooperative commerce chain) system isdescribed, and the method and NCCC system in automobile industry are developed, and so thecorrectness and the feasibility of the theory and the method are confirmed. 展开更多
关键词 cooperative commerce Automobile industry intelligent agent
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Ambient Intelligence: Awareness Context Application in Industrial Storage
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作者 Ahmed Zouinkhi Eddy Bajic +2 位作者 Eric Rondeau Mohamed Ben Gayed Mohamed Naceur Abdelkrim 《Wireless Sensor Network》 2011年第4期135-146,共12页
WSNs are designed to efficiently collect data and monitor environments, among other applications. This article describes the concept and realization of an Active Security System for security management of warehousing ... WSNs are designed to efficiently collect data and monitor environments, among other applications. This article describes the concept and realization of an Active Security System for security management of warehousing of chemical substances using WSNs. We present an approach to modeling and simulating cooperation between intelligent products that are equipped with a platform of sensor networks and ambient communication capabilities to increase their security, in a context of ambient intelligence of a deposit for chemical substances. Behavior evolution of every intelligent product is modeled by hierarchical Petri Nets. The simulation of the model is implemented in the Castalia-OMNET++ Tools language. 展开更多
关键词 AMBIENT intelligENCE intelligent Product cooperation Security WSN PETRI NETS Castalia
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Examining the Present and Future Integrated Role of Artificial Intelligence in the Business: A Survey Study on Corporate Sector
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作者 Awais Khan Jumani Asif Ali Laghari +1 位作者 Kamlesh Narwani Shibin David 《Journal of Computer and Communications》 2021年第1期80-90,共11页
<div style="text-align:justify;"> In the fast-moving world, it is noticed that every industry is developing gradually, but recently it is identified that the use of AI has become the talk of own. There... <div style="text-align:justify;"> In the fast-moving world, it is noticed that every industry is developing gradually, but recently it is identified that the use of AI has become the talk of own. Therefore, this study is focused on gathering data regarding the AI on how it has transformed the entire world’s corporate sector. The essential application AI in the business world helps the business to perform better in the corporate sector. In this paper, the critical role of artificial intelligence is to grow business in different sectors and also address its ethical and unethical issues. The paper has all the initial background and comprehensive literature regarding AI and machine learning. It is discovered how the technological world has been striving to take their business on to new heights, which requires updated technological changes in internal business activities. Companies can now effortlessly interact with their customers in making their application accessible for the end-users through implementing AI and machine learning. Companies are getting higher profitability and enhancing their performance and achieving economic advantages by integrated AI. Moreover, their technological developments will take human jobs in the future, so, it is suggested that humans should work on their skills and competencies so that they can deal with unemployment. </div> 展开更多
关键词 Artificial intelligence Machine Learning Functions of AI Use of AI in Busi-ness cooperate Sector
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Study and application of reinforcement learning based on DAI in cooperative strategy of robot soccer
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作者 郭琦 张达志 杨永田 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2009年第4期513-519,共7页
A dynamic cooperation model of multi-agent is established by combining reinforcement learning with distributed artificial intelligence(DAI),in which the concept of individual optimization loses its meaning because of ... A dynamic cooperation model of multi-agent is established by combining reinforcement learning with distributed artificial intelligence(DAI),in which the concept of individual optimization loses its meaning because of the dependence of repayment on each agent itself and the choice of other agents.Utilizing the idea of DAI,the intellectual unit of each robot and the change of task and environment,each agent can make decisions independently and finish various complicated tasks by communication and reciprocation between each other.The method is superior to other reinforcement learning methods commonly used in the multi-agent system.It can improve the convergence velocity of reinforcement learning,decrease requirements of computer memory,and enhance the capability of computing and logical ratiocinating for agent.The result of a simulated robot soccer match proves that the proposed cooperative strategy is valid. 展开更多
关键词 robot soccer reinforcement learning i cooperative strategy distributed artificial intelligence
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Artificial Intelligence:International Security Challenges and Governance
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作者 Zhu Rongsheng Feng Ziwen Chen Qi 《Contemporary International Relations》 2022年第3期103-125,共23页
Recently,the rapid development of artificial intelligence technology—and its application in the military field—has attracted extensive attention in the public,policy,and academic circles.However,different research p... Recently,the rapid development of artificial intelligence technology—and its application in the military field—has attracted extensive attention in the public,policy,and academic circles.However,different research paradigms and debates on the nature and aspects of AI challenges to international security exist in theory and policy.In the process of the international community’s exploration of AI global security governance,effectively integrating the views of all parties and constructing consensus international norms is difficult.This paper summarizes and analyzes the current debates on the challenges and governance of AI technology to international security,the multiple evolutions of international security governance norms in the era of AI,and the cooperation and competition between China and the United States in the field of AI international security.Sorting out and exploring these arguments can provide a new research direction and perspective for exploring the global governance path of artificial intelligence. 展开更多
关键词 artificial intelligence international security international norms strategic stability Sino-US cooperation
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