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Relevant bibliographies by topics / Distributed artificial intelligence and multi-Agent systems

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Academic literature on the topic 'Distributed artificial intelligence and multi-Agent systems'

Author: Grafiati

Published: 12 October 2024

Last updated: 31 July 2025

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Journal articles on the topic "Distributed artificial intelligence and multi-Agent systems"

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Hock, Andreas, and Angela P. Schoellig. "Distributed iterative learning control for multi-agent systems." Autonomous Robots 43, no. 8 (2019): 1989–2010. http://dx.doi.org/10.1007/s10514-019-09845-4.

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Xie, Guangqiang, Junyu Chen, and Yang Li. "Hybrid-order Network Consensus for Distributed Multi-agent Systems." Journal of Artificial Intelligence Research 70 (January 25, 2021): 389–407. http://dx.doi.org/10.1613/jair.1.12061.

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As an important field of Distributed artificial intelligence (DAI), multi-agent systems (MASs) have attracted the attention of extensive research scholars. Consensus as the most important issue in MAS, much progress has been made in studying the consensus control of MAS, but there are some problems remained largely unaddressed which cause the MAS to lose some useful network structure information. First, multi-agent consensus protocol usually proceeds over the low-order structure by only considering the direct edges between agents, but ignores the higher-order structure of the whole topology ne

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Lin, Hong, and Chunsheng Yang. "Specifying distributed multi-agent systems in chemical reaction metaphor." Applied Intelligence 24, no. 2 (2006): 155–68. http://dx.doi.org/10.1007/s10489-006-6936-x.

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Pooja, Dr. Manish Varshney. "The Study of Fundamental Concepts of Agent and Multi-agent Systems." Tuijin Jishu/Journal of Propulsion Technology 44, no. 3 (2023): 3237–38. http://dx.doi.org/10.52783/tjjpt.v44.i3.1592.

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The concept of n intelligent agent is a concept that is born from the area of artificial intelligence; in fact, a commonly-accepted definition relates the discipline of artificial intelligence with the analysis and design of autonomous entities capable of exhibitin intelligent behavior. From that perspective, it is assumed that an intelligent agent must be able to perceive its environment, reason about how to achieve its objectives, act towards achieving them through the application of some principle of rationality, and interact with other intelligent agents, being artificial or human [1]. Mul

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Dzitac, Ioan, and Boldur E. Bărbat. "Artificial Intelligence + Distributed Systems = Agents." International Journal of Computers Communications & Control 4, no. 1 (2009): 17. http://dx.doi.org/10.15837/ijccc.2009.1.2410.

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The connection with Wirth’s book goes beyond the title, albeit confining the area to modern Artificial Intelligence (AI). Whereas thirty years ago, to devise effective programs, it became necessary to enhance the classical algorithmic framework with approaches applied to limited and focused subdomains, in the context of broad-band technology and semantic web, applications - running in open, heterogeneous, dynamic and uncertain environments-current paradigms are not enough, because of the shift from programs to processes. Beside the structure as position paper, to give more weight to some basic

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RAMCHURN, SARVAPALI D., DONG HUYNH, and NICHOLAS R. JENNINGS. "Trust in multi-agent systems." Knowledge Engineering Review 19, no. 1 (2004): 1–25. http://dx.doi.org/10.1017/s0269888904000116.

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Trust is a fundamental concern in large-scale open distributed systems. It lies at the core of all interactions between the entities that have to operate in such uncertain and constantly changing environments. Given this complexity, these components, and the ensuing system, are increasingly being conceptualised, designed, and built using agent-based techniques and, to this end, this paper examines the specific role of trust in multi-agent systems. In particular, we survey the state of the art and provide an account of the main directions along which research efforts are being focused. In so do

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Braubach, Lars, Alexander Pokahr, Winfried Lamersdorf, Karl-Heinz Krempels, and Peer-Oliver Woelk. "A GENERIC TIME MANAGEMENT SERVICE FOR DISTRIBUTED MULTI-AGENT SYSTEMS." Applied Artificial Intelligence 20, no. 2-4 (2006): 229–49. http://dx.doi.org/10.1080/08839510500484231.

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Zvyagin, L. S. "STUDYING MULTI-AGENT SYSTEMS AND SOLVING PROBLEMS OF THEIR MATHEMATICAL ALGORITHMIZATION." SOFT MEASUREMENTS AND COMPUTING 1, no. 9 (2021): 62–73. http://dx.doi.org/10.36871/2618-9976.2021.09.003.

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Today, multi-agent systems are one of the most important and promising areas of development, which are used in various fields. Multi-agent systems differ from traditional modeling methods in that the system works with each component separately. The agent-based approach helps to move from cumbersome calculations to parallel ones. The multi-agent approach can be used everywhere, in the construction of ERP systems that help in the management of distributed production processes, for the management of distributed production processes, with the help of multi-agent systems, it is also possible to sol

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Dutta, P. S., N. R. Jennings, and L. Moreau. "Cooperative Information Sharing to Improve Distributed Learning in Multi-Agent Systems." Journal of Artificial Intelligence Research 24 (October 1, 2005): 407–63. http://dx.doi.org/10.1613/jair.1735.

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Effective coordination of agents' actions in partially-observable domains is a major challenge of multi-agent systems research. To address this, many researchers have developed techniques that allow the agents to make decisions based on estimates of the states and actions of other agents that are typically learnt using some form of machine learning algorithm. Nevertheless, many of these approaches fail to provide an actual means by which the necessary information is made available so that the estimates can be learnt. To this end, we argue that cooperative communication of state information bet

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Jaleel, Hanan Qassim, Jane Jaleel Stephan, and Sinan A. Naji. "Multi-Agent Systems: A Review Study." Ibn AL- Haitham Journal For Pure and Applied Sciences 33, no. 3 (2020): 188. http://dx.doi.org/10.30526/33.3.2483.

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Multi-agent systems are subfield of Artificial Intelligence that has experienced rapid growth because of its flexibility and intelligence in order to solve distributed problems. Multi-agent systems (MAS) have got interest from various researchers in different disciplines for solving sophisticated problems by dividing them into smaller tasks. These tasks can be assigned to agents as autonomous entities with their private database, which act on their environment, perceive, process, retain and recall by using multiple inputs. MAS can be defined as a network of individual agents that share knowled

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Dissertations / Theses on the topic "Distributed artificial intelligence and multi-Agent systems"

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Hu, Yuebing, and 胡跃冰. "Consensus control of multi-agent systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4658657X.

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Malheiro, Maria Benedita Campos Neves. "Methodologies for Belief Revision in Multi-agent Systems." Phd thesis, Instituições portuguesas -- UP-Universidade do Porto -- -Faculdade de Engenharia -- -Departamento de Engenharia Electrotécnica e de Computadores, 1999. http://dited.bn.pt:80/29534.

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The goal of this thesis is twofold: first, we want to present the distributed belief accommodation and revision model for multi-agent systems that has been developed and, second, we wish to show its applicability to an appropriate domain. The Distributed Belief Accommodation & Revision model, called DeBAteR model, was developed for co-operative heterogeneous multi-agent systems used to model inherently dynamic distributed problems. In these systems, although the agents are able to detect changes both in the environment and in the problem specifications, each agent has only a partial view of th

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Qi, Dehu. "Multi-agent systems : integrating reinforcement learning, bidding and genetic algorithms /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3060133.

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Gandon, Fabien. "Distributed artificial intelligence and knowledge management : ontologies and multi-agent systems for a corporate semantic web." Nice, 2002. http://www.theses.fr/2002NICE5773.

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This work concerns multi-agents systems for the management of a corporate semantic web based on an ontology. It was carried out in the context of the European project CoMMA focusing on two application scenarios: support technology monitoring activities and assist the integration of a new employee to the organisation. Three aspects were essentially developed in this work: the design of a multi-agents architecture supporting both scenarios, and the organisational top-down approach followed to identify the societies, the roles and the interactions of agents. The construction of the ontology O'CoM

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FASANOTTI, Luca. "A Distributed Intelligent Maintenance System based on Artificial Immune Approach and Multi-Agent Systems." Doctoral thesis, Università degli studi di Bergamo, 2016. http://hdl.handle.net/10446/63690.

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Wei, Jin. "Modeling and Coordination of interconnected microgrids using distributed artificial intelligence approaches." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA021.

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À mesure que les sources renouvelables pénètrent dans le système électrique actuel pour atténuer le réchauffement planétaire et la pénurie d’énergie, le concept de microréseau (MG) permet de réduire l’impact de la production intermittente sur le réseau de services publics. Il permet d'améliorer l’automatisation et l’intelligence du réseau électrique avec des caractéristiques plug-and-play. L’intégration d’un plus grand nombre de MG dans un réseau de distribution favorise le développement du réseau intelligent. Leur coordination pourrait conduire à une grande fiabilité du système avec un faible

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Mihal, Bađonski. "Adaptable Java Agents (AJA) — a Tool for Programming o f Multi-Agent Systems." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2004. https://www.cris.uns.ac.rs/record.jsf?recordId=73368&source=NDLTD&language=en.

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The main goal of this thesis is the creation o f the tool agent-oriented programming tool AJA. AJA is the acronym for Adaptable Java Agents. AJA consists o f two programming languages:- A higher-level language used for the description of the main agent parts. This language is called HADL, which is the acronym for Higher Agent Definition Language.- A lower-level language used for the programming o f the agent parts defined in HADL. This language is called Java+. It is actually Java enriched with the constructs for accessing higher-level agent parts defined in HADL.A translator from AJA to Java

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Xu, Duo. "An agent-based tool for China's express delivery SMEs." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987784.

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Charrier, Rodolphe. "L'intelligence en essaim sous l'angle des systèmes complexes : étude d'un système multi-agent réactif à base d'itérations logistiques couplées." Phd thesis, Université Nancy II, 2009. http://tel.archives-ouvertes.fr/tel-00442841.

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L'intelligence en essaim constitue désormais un domaine à part entière de l'intelligence artificielle distribuée. Les problématiques qu'elle soulève touchent cependant à de nombreux autres domaines ou questions scientifiques. En particulier le concept d'essaim trouve pleinement sa place au sein de la science dites des ``systèmes complexes''. Cette thèse présente ainsi la conception, les caractéristiques et les applications d'un modèle original, le SMA logistique, pour le domaine de l'intelligence en essaim. Le SMA logistique trouve son origine en modélisation des systèmes complexes : il est en

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Massawe, Libe Valentine. "The design and development of multi-agent based RFID middleware system for data and devices management." Thesis, Bloemfontein : Central University of Technology, Free State, 2012. http://hdl.handle.net/11462/167.

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Thesis (D. Tech. (Electrical Engineering)) - Central University of technology, Free State, 2012<br>Radio frequency identification technology (RFID) has emerged as a key technology for automatic identification and promises to revolutionize business processes. While RFID technology adoption is improving rapidly, reliable and widespread deployment of this technology still faces many significant challenges. The key deployment challenges include how to use the simple, unreliable raw data generated by RFID deployments to make business decisions; and how to manage a large number of deployed RFID dev

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Books on the topic "Distributed artificial intelligence and multi-Agent systems"

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Ferber, Jacques. Multi-agent systems: An introduction to distributed artificial intelligence. Addison-Wesley, 1998.

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McEleney, Bryan. Multi-Agent Systems and Manufacturing Problems. University College Dublin, 1998.

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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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1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (12th : 2000 : Baden-Baden, Germany), eds. Advances in artificial intelligence and engineering cybernetics: Multi-agent systems: theory and applications ... International Institute for Advanced Studies in Systems Research and Cybernetics, 2000.

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Adelinde, Uhrmacher, and Weyns Danny, eds. Multi-agent systems: Simulation and applications. Taylor & Francis, 2009.

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Yokoo, Makoto. Distributed Constraint Satisfaction: Foundations of Cooperation in Multi-agent Systems. Springer Berlin Heidelberg, 2001.

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International Conference on Multi-Agent Systems (1st 1995 San Francisco, Calif.). ICMAS-95: Proceedings First International Conference on Multi-Agent Systems : June 12-14, 1995, San Francisco, California. AAAI Press/The MIT Press, 1995.

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1958-, De Wilde Philippe, ed. Convergence and knowledge processing in multi-agent systems. Springer, 2009.

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KES-AMSTA, 2011 (2011 Manchester England). Agent and multi-agent systems: Technologies and applications : 5th KES international conference, KES-AMSTA 2011, Manchester, UK, June 29-July 1, 2011 : proceedings. Springer, 2011.

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Book chapters on the topic "Distributed artificial intelligence and multi-Agent systems"

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Lavendelis, Egons. "Multi-agent Architecture for Intelligent Insurance Systems." In Distributed Computing and Artificial Intelligence. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00551-5_53.

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Santos, Gabriel, Tiago Pinto, Zita Vale, Hugo Morais, and Isabel Praça. "Upper Ontology for Multi-Agent Energy Systems’ Applications." In Distributed Computing and Artificial Intelligence. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00551-5_73.

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Carlsson, Bengt. "An evolutionary model of multi-agent systems." In Distributed Artificial Intelligence Architecture and Modelling. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61314-5_21.

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Soriano, Angel, Enrique J. Bernabeu, Angel Valera, and Marina Vallés. "Collision Avoidance of Mobile Robots Using Multi-Agent Systems." In Distributed Computing and Artificial Intelligence. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00551-5_52.

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Bernhard, Alexis T., Simon Jungbluth, Ali Karnoub, et al. "I4.0 Holonic Multi-agent Testbed Enabling Shared Production." In Artificial Intelligence in Manufacturing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46452-2_13.

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AbstractThis chapter aims at presenting the system architecture of a distributed production testbed embedded in an interoperable Shared Production network. The goal of the modular architecture is to enable flexible, resilient and distributed production. The presented approach illustrates how Multi-Agent Systems (MAS) can be incorporated in the manufacturing domain for distributed components on different hierarchy layers based on a holonic approach. The concept is validated on the real-world demonstrator testbed of the SmartFactoryKL. Furthermore, the MAS is combined with Industry 4.0 technolog

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Zhou, Lingzhong, Abdul Sattar, and Scott Goodwin. "Handling Over-Constrained Problems in Distributed Multi-agent Systems." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424918_2.

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Cavedon, Lawrence, and Gil Tidhar. "A logical framework for multi-agent systems and joint attitudes." In Distributed Artificial Intelligence Architecture and Modelling. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61314-5_18.

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Triantis, Tasos, and Panayiotis Pintelas. "An Integrated Environment for Building Distributed Multi-agent Educational Applications." In Artificial Intelligence: Methodology, Systems, and Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30106-6_36.

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Krausburg, Tabajara. "Hierarchical Coalition Formation in Multi-agent Systems." In Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53829-3_23.

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Noda, Itsuki. "Framework of Distributed Simulation System for Multi-agent Environment." In PRICAI 2000 Topics in Artificial Intelligence. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44533-1_100.

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Conference papers on the topic "Distributed artificial intelligence and multi-Agent systems"

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Guoliang, Wang, and Lyu Yaqiang. "Distributed Finite-Time Consensus Control of Multi-Agent Systems with Communication Topology Switching*." In 2024 6th International Conference on Industrial Artificial Intelligence (IAI). IEEE, 2024. http://dx.doi.org/10.1109/iai63275.2024.10730069.

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Ramos, Milton Pires, Emerson Cabrera Paraiso, and Luiz Augusto D. Correa. "Corrosion Control under a Multi-Agent Approach." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96384.

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Abstract The last years have shown the great importance of monitoring techniques applied to corrosion control in process industries. These techniques depend strongly on systems for data acquisition, data treatment/analysis and automatic control. This monitoring task can be improved by the application of modem computer based solutions as intelligent systems. This paper presents the foundation of Distributed Artificial Intelligence and Multi-Agent Systems applied to corrosion control as well as presents the researches and developments of a community of expert systems (agents) for corrosion contr

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Yu, Zhouyi, Changzhong Chen, and Houhong Liu. "Distributed Dynamic Event-Triggered Consensus for Linear Multi-Agent Systems with Bounded Interference." In 2024 4th International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV). IEEE, 2024. https://doi.org/10.1109/aivrv63595.2024.10859765.

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Le, Vy, Oliver Joegensen, Tin Nguyen, Khang Hoang, and Ginel Dorleon. "Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013098400003890.

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Feng, Zhi, Guoqiang Hu, Xiwang Dong, and Jinhu Lu. "Distributed Nash Equilibrium Seeking of Second-Order Multi-Agent Systems Under Unknown False Data Injection Attacks." In 2024 6th International Conference on Industrial Artificial Intelligence (IAI). IEEE, 2024. http://dx.doi.org/10.1109/iai63275.2024.10730049.

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Kalaivani, P., and C. Venkatesh. "Performance Analysis of Linear Regression based Simple Reflex Artificial Intelligence Agent to Detect Malwares." In 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC). IEEE, 2024. https://doi.org/10.1109/icdscnc62492.2024.10941541.

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Jabeur, Nafaa. "Quantum Informed Multi-Agent Boosted Solution for Seatbelt Monitoring Systems." In 2024 Artificial Intelligence Revolutions (AIR). IEEE, 2024. https://doi.org/10.1109/air63653.2024.00024.

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Cinkusz, Konrad, and Jarosław Chudziak. "Agile Software Management with Cognitive Multi-Agent Systems." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013153000003890.

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Facchini, Sante Dino. "Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/828.

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The Ph.D research project aims to explore the potential of the Decentralized Autonomous Organization paradigm in conjunction with classic software architectures for Artificial Intelligence applications. The intended goal is to investigate and formalize a possible integration path between Multi-agent System architectures and Decentralized Autonomous Organizations. Starting from the Foundation for Intelligent Physical Agents standards, we will extend basic primitives to integrate Multi-agent Systems on Distributed Ledger Technology networks. Possible deployment of services and applications in th

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Leppanen, Teemu. "Distributed Artificial Intelligence with Multi-Agent Systems for MEC." In 2019 28th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2019. http://dx.doi.org/10.1109/icccn.2019.8846960.

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Reports on the topic "Distributed artificial intelligence and multi-Agent systems"

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Doo, Johnny. The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications. SAE International, 2023. http://dx.doi.org/10.4271/epr2023020.

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<div class="section abstract"><div class="htmlview paragraph">Advancements in electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One particularly promising application involves on-demand, rapid-response use cases to broaden first responders, police, and medical transport mission capabilities. With the dynamic and varying public service operations, eVTOL aircraft can offer potentially cost-effective aerial mobility components to the overall solution, including significant lifesaving benefits

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