Готові списки джерел за темами / Cooperative Multi-agent system

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Добірка наукової літератури з теми "Cooperative Multi-agent system"

Автор: Grafiati
Опубліковано: 3 червня 2025
Оновлено: 31 липня 2025

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Статті в журналах з теми "Cooperative Multi-agent system"

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BENOUHIBA, T., and J. NIGRO. "An evidential cooperative multi-agent system." Expert Systems with Applications 30, no. 2 (2006): 255–64. http://dx.doi.org/10.1016/j.eswa.2005.07.008.

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Dushkin, Roman. "Multi-agent systems for cooperative ITS." Тренды и управление, no. 1 (January 2021): 42–50. http://dx.doi.org/10.7256/2454-0730.2021.1.34169.

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This article presents an original perspective upon the problem of creating intelligent transport systems in the conditions of using highly automated vehicles that freely move on the urban street-road networks. The author explores the issues of organizing a multi-agent system from such vehicles for solving the higher level tasks rather than by an individual agent (in this case – by a vehicle). Attention is also given to different types of interaction between the vehicles or vehicles and other agents. The examples of new tasks, in which the arrangement of such interaction would play a
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Ammar, Abdul Ameer Rasheed, Najm Abdullah Mohammed, and Sabah Al-Araji Ahmed. "A review of multi-agent mobile robot systems applications." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 4 (2022): 3517–29. https://doi.org/10.11591/ijece.v12i4.pp3517-3529.

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A multi-agent robot system (MARS) is one of the most important topics nowadays. The basic task of this system is based on distributive and cooperative work among agents (robots). It combines two important systems; multi-agent system (MAS) and multi-robots system (MRS). MARS has been used in many applications such as navigation, path planning detection systems, negotiation protocol, and cooperative control. Despite the wide applicability, many challenges still need to be solved in this system such as the communication links among agents, obstacle detection, power consumption, and collision avoi
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YUAN, SOE-TSYR, and ZENG-LUNG WU. "AN INFRASTRUCTURE FOR ENGINEERING COOPERATIVE AGENTS." International Journal of Software Engineering and Knowledge Engineering 10, no. 06 (2000): 681–711. http://dx.doi.org/10.1142/s0218194000000377.

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Currently, systems of cooperative agents (multi-agent systems), possessing the capabilities of autonomy, adaptation, and cooperation, are being used in an increasingly wide variety of application areas, and the conversation-based multi-agent system design is the major design for those multi-agent systems. Supposedly, conversation-based multi-agent systems should have been prevailing enough for tackling dynamic aspects of problems in a variety of domains. However, for industries, multi-agent systems are still found to be in the birth stage where they only show their new values in anticipation f
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TACHIBANA, Yoshihiro, Syohei MORI, and Toru NAMERIKAWA. "Cooperative Control of Multi-agent System with Disturbance." Transactions of the Society of Instrument and Control Engineers 50, no. 9 (2014): 669–76. http://dx.doi.org/10.9746/sicetr.50.669.

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Allioui, Hanane, Mohamed Sadgal, and Aziz El Fazziki. "An Improved Image Segmentation System." Journal of communications software and systems 16, no. 2 (2020): 143–55. http://dx.doi.org/10.24138/jcomss.v16i2.830.

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In this paper, we present a solution-based cooperation approach for strengthening the image segmentation.This paper proposes a cooperative method relying on Multi-Agent System. The main contribution of this work is to highlight the importance of cooperation between the contour and region growing based on Multi-Agent System (MAS). Consequently, agents’ interactions form the main part of the whole process for image segmentation. Similar works were proposed to evaluate the effectiveness of the proposed solution. The main difference is that our Multi-Agent System can perform the segmentation proce
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Liang, Along. "Multi-Agent-Based Film Editing Collaboration System." Computational Intelligence and Neuroscience 2022 (July 1, 2022): 1–6. http://dx.doi.org/10.1155/2022/1327620.

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In order to realize the effective cooperation between editor agents in the film and television editing collaboration system, it is analyzed that the state change of the film and television editing and production process is affected by the cross influence of multiple factors. A single agent can no longer satisfy the current film and television production. From the point of view of system theory, this article constructs the learner agent in the film and television editing system by introducing a new cooperation mechanism—the multi-agent collaborative system model. Collaboration and cooperation b
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Oliveira, Eugénio, R. Camacho, and C. Ramos. "A multi-agent environment in robotics." Robotica 9, no. 4 (1991): 431–40. http://dx.doi.org/10.1017/s0263574700000618.

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SUMMARYThe use of Multi-Agent Systems as a Distributed AI paradigm for Robotics is the principal aim of our present work. In this paper we consider the needed concepts and a suitable architecture for a set of Agents in order to make it possible for them to cooperate in solving non-trivial tasks.Agents are sets of different software modules, each one implementing a function required for cooperation. A Monitor, an Acquaintance and Self-knowledge Modules, an Agenda and an Input queue, on the top of each Intelligent System, are fundamental modules that guarantee the process of cooperation, while t
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Li, Na, and Yi Guo. "A Model for Cooperative Design Based on Multi-Agent System." Applied Mechanics and Materials 65 (June 2011): 160–64. http://dx.doi.org/10.4028/www.scientific.net/amm.65.160.

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Distributed cooperative design is carried out by teams located at different places. The regional limitation must be overcome to facilitate information exchange, knowledge processing, and design result exchange, etc., among the teams. This paper proposes a multi-agent based model for cooperative design. The model consists of five types of agents according to cooperative design environment and design activities. Integrated fine grained security mechanism into different agents is the major feature of this model.
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Elhachimi, Jamal, and Zouhair Guenoun. "Distributed Frequency Assignment Using Hierarchical Cooperative Multi-Agent System." International Journal of Communications, Network and System Sciences 04, no. 11 (2011): 727–34. http://dx.doi.org/10.4236/ijcns.2011.411089.

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Дисертації з теми "Cooperative Multi-agent system"

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Maddouri, Amina. "Towards auto-adaptive and cooperative multi agent systemsfor ambient assistive applications." Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG035.

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Nos recherches portent sur les systèmes multi-agents (SMA) adaptatifs en environnement ouvert. Nous nous intéressons à un contexte ouvert, dynamique et instable dans lequel les agents peuvent coopérer de manière dynamique. Comme l'environnement est dynamique, en raison de la disponibilité ou du manque d'objets connectés et de la diversité des situations, les mécanismes de coopération entre les objets connectés doivent être conçus de manière dynamique et adaptative. L'adaptation prend en considération le contexte de la personne (personnes âgées ou malades) ainsi que les protocoles d'interaction
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Mahmoud, Abdallah Abdelrahman Hassan. "Cooperative Automated Vehicle Movement Optimization at Uncontrolled Intersections using Distributed Multi-Agent System Modeling." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/84896.

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Optimizing connected automated vehicle movements through roadway intersections is a challenging problem. Traditional traffic control strategies, such as traffic signals are not optimal, especially for heavy traffic. Alternatively, centralized automated vehicle control strategies are costly and not scalable given that the ability of a central controller to track and schedule the movement of hundreds of vehicles in real-time is highly questionable. In this research, a series of fully distributed heuristic algorithms are proposed where vehicles in the vicinity of an intersection continuously coo
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de, Azevedo Ricardo. "Fully Decentralized Multi-Agent System for Optimal Microgrid Control." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2461.

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In preparation for the influx of renewable energy sources that will be added to the electrical system, flexible and adaptable control schemes are necessary to accommodate the changing infrastructure. Microgrids have been gaining much attention as the main solution to the challenges of distributed and intermittent generation, but due to their low inertia, they need fast-acting control systems in order to maintain stability. Multi-Agent Systems have been proposed as dynamic control and communication frameworks. Decentralized arrangements of agents can provide resiliency and the much-desired “plu
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Morais, M?rcio Godoy. "Integration of a multi-agent system into a robotic framework : a case study of a cooperative fault diagnosis application." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2015. http://tede2.pucrs.br/tede2/handle/tede/6396.

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Submitted by Setor de Tratamento da Informa??o - BC/PUCRS (tede2@pucrs.br) on 2015-11-19T16:26:49Z No. of bitstreams: 1 476244 - Texto Completo.pdf: 2378601 bytes, checksum: 4c28a7ac36972e53ed94255e9583c2b2 (MD5)<br>Made available in DSpace on 2015-11-19T16:26:50Z (GMT). No. of bitstreams: 1 476244 - Texto Completo.pdf: 2378601 bytes, checksum: 4c28a7ac36972e53ed94255e9583c2b2 (MD5) Previous issue date: 2015-03-11<br>Programming multi-robot autonomous systems can be extremely complex without appropriate software development techniques to abstract hardware faults, as well as can be hard to de
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Morais, Márcio Godoy. "Integration of a multi-agent system into a robotic framework: a case study of a cooperative fault diagnosis application." Pontifícia Universidade Católica do Rio Grande do Sul, 2015. http://hdl.handle.net/10923/7687.

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Made available in DSpace on 2015-11-20T01:15:11Z (GMT). No. of bitstreams: 1 000476244-Texto+Completo-0.pdf: 569 bytes, checksum: 79838a20b7c104bffe3bdf660f64ba28 (MD5) Previous issue date: 2015<br>Programming multi-robot autonomous systems can be extremely complex without appropriate software development techniques to abstract hardware faults, as well as can be hard to deal with the complexity of software required the coordinated autonomous behavior. Real environments are dynamic and unexpected events may occur, leading a robot to unforeseen situations or even fault situations. This work pr
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Izumi, Shinsaku. "Studies on Controller Networks." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199448.

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Victor, Sundar K. "Negotiation Between Distributed Agents in a Concurrent Engineering System." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/1083.

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"Current approaches to design are often serial and iterative in nature, leading to poor quality of design and reduced productivity. Complex artifacts are designed by groups of experts, each with his/her own area of expertise. Hence design can be modeled as a cooperative multi-agent problem-solving task, where different agents possess different expertise and evaluation criteria. New techniques for Concurrent Design, which emphasize parallel interaction among design experts involved, are needed. During this concurrent design process, disagreements may arise among the expert agents as the des
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MINETTO, ALEX. "GNSS-only Collaborative Positioning Methods for Networked Receivers." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2827705.

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Huin, Leslie. "Sécurité d'accès dans les Systèmes d'Information Coopératifs : modélisation et Implémentation à l'aide d'agents." Thesis, Lyon 3, 2012. http://www.theses.fr/2012LYO30028.

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Le partage entre sources indépendantes hétérogènes et distribuées peut être résolu par la construction d’un système d’information coopératif (SIC). Un SIC est un ensemble de composants plus ou moins autonomes, souvent préexistants qui travaillent de manière synergique en échangeant information, expertise et en coordonnant leurs activités. Cela implique notamment la prise en compte de l’interopérabilité liée aux différences de description des données et de représentation de la sémantique. La gestion des données est alors assurée sans recours à un schéma global complet pour respecter l’autonomie
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Sellaouti, Aymen. "Méthode collaborative de segmentation et classification d'objets à partir d'images de télédétection à très haute résolution spatiale." Thesis, Strasbourg, 2014. http://www.theses.fr/2014STRAD032/document.

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Avec l’avènement des images satellitaires à très haute résolution, les approches pixelliques ne donnant plus entière satisfaction ont été remplacées par les approches objets. Cependant, ces approches restent tributaires de la première étape qui permet le passage du pixel vers l’objet, à savoir l’étape de construction. L’architecture séquentielle de ces approches fait que les erreurs de l’étape de construction se répercutent sur l’étape d’identification. Il devient donc primordial de passer de cette architecture séquentielle vers une architecture itérative permettant la collaboration entre les
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Книги з теми "Cooperative Multi-agent system"

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Cai, He, Youfeng Su, and Jie Huang. Cooperative Control of Multi-agent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98377-2.

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Wang, Yue, Eloy Garcia, David Casbeer, and Fumin Zhang, eds. Cooperative Control of Multi-Agent Systems. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119266235.

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Lewis, Frank L., Hongwei Zhang, Kristian Hengster-Movric, and Abhijit Das. Cooperative Control of Multi-Agent Systems. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5574-4.

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Liu, Zhenwei, Donya Nojavanzadeh, and Ali Saberi. Cooperative Control of Multi-agent Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12954-4.

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Zhao, Guanglei, Hailong Cui, Changchun Hua, and Shuang Liu. Cooperative Control of Multi-agent Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0968-7.

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Shamma, Jeff S., ed. Cooperative Control of Distributed Multi-Agent Systems. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470724200.

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Yu, Wenwu, Guanghui Wen, Guanrong Chen, and Jinde Cao. Distributed Cooperative Control of Multi-agent Systems. John Wiley & Sons Singapore Pte. Ltd, 2016. http://dx.doi.org/10.1002/9781119246213.

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S, Shamma Jeff, ed. Cooperative control of distributed multi-agent systems. John Wiley & Sons, 2007.

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S, Shamma Jeff, ed. Cooperative control of distributed multi-agent systems. John Wiley & Sons, 2007.

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Zuo, Zongyu, Qing-Long Han, and Boda Ning. Fixed-Time Cooperative Control of Multi-Agent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20279-8.

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Частини книг з теми "Cooperative Multi-agent system"

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Griffiths, Nathan, and Michael Luck. "Cooperative Plan Selection Through Trust." In Multi-Agent System Engineering. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_14.

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Lee, Keonsoo, Wonil Kim, and Minkoo Kim. "Supply Chain Management using Multi-agent System." In Cooperative Information Agents VIII. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30104-2_16.

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Decker, Keith, Salim Khan, Carl Schmidt, and Dennis Michaud. "Extending a Multi-agent System for Genomic Annotation." In Cooperative Information Agents V. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44799-7_12.

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Zhou, Xiaojun, Jian Cao, and Shensheng Zhang. "A Multi-agent System Based on ECA Rule." In Grid and Cooperative Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24680-0_160.

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He, Lifeng, Yuyan Chao, Shohey Kato, Tetsuo Araki, Hirohisa Seki, and Hidenori Itoh. "A multi-agent cooperative reasoning system for amalgamated knowledge bases." In Multi-Agent Systems Methodologies and Applications. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0030084.

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Li, Jian, Guo-yin Zhang, and Guo-chang Gu. "A Multi-agent Based Architecture for Network Attack Resistant System." In Grid and Cooperative Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24679-4_161.

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Štěpánková, O., V. Mařík, and J. Lažanský. "Improving cooperative behaviour in a multi-agent system." In Advanced IT Tools. Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34979-4_33.

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Cao, Wen, Cheng-Gang Bian, and Gunnar Hartvigsen. "Achieving efficient cooperation in a multi-agent system: the twin-base modeling." In Cooperative Information Agents. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62591-7_35.

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Sousa, Constança Oliveira e., and Luis Custódio. "Dealing with Errors in a Cooperative Multi-agent Learning System." In Learning and Adaption in Multi-Agent Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11691839_8.

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Perles, Alexandre, Ha Nhi Ngo, Elsy Kaddoum, and Valérie Camps. "Adaptive Multi-agent System for Dynamic Clustering Applied to Itineraries Regularities and Traffic Prediction." In Cooperative Information Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46846-9_5.

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Тези доповідей конференцій з теми "Cooperative Multi-agent system"

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Anand, Amit, Dipayan Guha, and Shubhi Purwar. "Cooperative Formation Control of the Multi-Agent System." In 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET). IEEE, 2024. http://dx.doi.org/10.1109/sefet61574.2024.10718277.

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Zhao, Zhenqi, Yanfeng Ge, Hongzhang Wu, Linjiang Deng, Guopeng Feng, and Duo Yang. "Nonlinear Multi-Agent Cooperative Control Based on Fuzzy Logic System." In 2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE). IEEE, 2024. http://dx.doi.org/10.1109/iccsie61360.2024.10698284.

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Chen, Qian, Tan Liu, Zhen Gao, Rongjie Yu, Jian Sun, and Peng Hang. "Joint Multi-Agent Trajectory Prediction for Cooperative Vehicle Infrastructure System." In 2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 2024. https://doi.org/10.1109/cvci63518.2024.10830096.

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Jin, Xiaoyue, Dengxiu Yu, and Zhen Wang. "Cooperative Game-based Intelligent Actions Making for Constrained Multi-agent System." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661971.

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Malathy, V., Hassan M. Al-Jawahry, Madhura G K, G. Suganya, and Rashmi P. "A Reinforcement Learning Method in Cooperative Multi-Agent System for Production Control System." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691212.

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Wang, Qi, and Yan Ren. "Multi-agent system fault-tolerant cooperative control based on finite time observer." In 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), edited by Dailin Zhang and Ke Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3039191.

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Liu, Tianqi, Xiaolin Ai, Qi’Ang Cai, and Zhiqiang Pu. "A Flexible Formation Maneuver Control Strategy for Multi-agent Cooperative Transportation System." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662018.

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Bernard-Tiong, Ing-Sheng, Yoshihisa Tsurumine, Ryosuke Sota, Kazuki Shibata, and Takamitsu Matsubara. "Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation." In 2025 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2025. https://doi.org/10.1109/sii59315.2025.10871115.

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Geoghegan, Sean J., Grady McCorkle, Chris Robinson, et al. "A multi-agent system architecture for cooperative maritime networks." In 2009 3rd Annual IEEE Systems Conference. IEEE, 2009. http://dx.doi.org/10.1109/systems.2009.4815762.

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Lin, Jiaying, Jan-Jöran Gehrt, René Zweigel, and Dirk Abel. "Cooperative Localization of Networked Multi-agent System." In 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019). Institute of Navigation, 2019. http://dx.doi.org/10.33012/2019.16879.

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Звіти організацій з теми "Cooperative Multi-agent system"

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How, Jonathan P., Emilio Frazzoli, and Nicholas Roy. ICPL: Intelligent Cooperative Planning and Learning for Multi-agent Systems. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada565746.

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Pasupuleti, Murali Krishna. AI in Global Strategy: Harnessing Game Theory and Reinforcement Learning for Diplomatic Innovation. National Education Services, 2025. https://doi.org/10.62311/nesx/rr125.

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Abstract: This article explores the integration of game theory and reinforcement learning (RL) in the context of global diplomacy, emphasizing the transformative potential of strategic AI in international relations. It provides an in-depth analysis of how game theory principles, such as Nash equilibrium and cooperative strategies, are leveraged by AI to model and optimize diplomatic interactions. The Article explains how reinforcement learning enables AI systems to learn and adapt strategies over time, improving their effectiveness in negotiation and conflict resolution. Through case studies a
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