Littérature scientifique sur le sujet « Multi-agent system analysis »
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Articles de revues sur le sujet "Multi-agent system analysis"
Simankov, V. S., et Yu V. Dubenko. « SYSTEM ANALYSIS IN HIERARCHICAL INTELLIGENT MULTI-AGENT SYSTEMS ». Vestnik komp'iuternykh i informatsionnykh tekhnologii, no 201 (mars 2021) : 33–46. http://dx.doi.org/10.14489/vkit.2021.03.pp.033-046.
Texte intégralYu, Miao, et Zhi Cai. « The Dynamics Analysis of the Robot Polishing System by the Multi-Agent System ». Key Engineering Materials 419-420 (octobre 2009) : 601–4. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.601.
Texte intégralBotchkaryov, Alexey. « Coscheduling Spatial Self-organization and Distributed Data Collection in Multi-agent System ». Advances in Cyber-Physical Systems 7, no 2 (16 décembre 2022) : 76–82. http://dx.doi.org/10.23939/acps2022.02.076.
Texte intégralPavlenko, Viacheslav, Volodymyr Manuylov et Volodymyr Kuzhel. « Сase-systems for development of multiagent system (MAS) in the system of diagnostics and maintenance of vehicles ». Journal of Mechanical Engineering and Transport 13, no 1 (2021) : 87–93. http://dx.doi.org/10.31649/2413-4503-2021-13-1-87-93.
Texte intégralChatterjee, Rajib Kumar, Neha Neha et Anirban Sarkar. « Behavioral Modeling of Multi Agent System ». International Journal of Agent Technologies and Systems 7, no 1 (janvier 2015) : 55–78. http://dx.doi.org/10.4018/ijats.2015010104.
Texte intégralChatterjee, Rajib Kumar, Mangilal Sharma et Anirban Sarkar. « Modeling of Multi Agent System : From Analysis to Design ». International Journal of Software Engineering and Its Applications 10, no 12 (31 décembre 2016) : 149–68. http://dx.doi.org/10.14257/ijseia.2016.10.12.13.
Texte intégralMa, Lizhu, et Xin Zhang. « Hierarchical Social Network Analysis Using a Multi-Agent System ». International Journal of Agent Technologies and Systems 5, no 3 (juillet 2013) : 14–32. http://dx.doi.org/10.4018/ijats.2013070102.
Texte intégralM.Ibrahim, Najhan, Mohd Fadzil Hassan et Muhammad Amrullah DRS Nasrul. « Multi-Agent System in Web Services ». International Journal on Perceptive and Cognitive Computing 10, no 1 (28 janvier 2024) : 40–50. http://dx.doi.org/10.31436/ijpcc.v10i1.429.
Texte intégralLavendelis, Egons, et Janis Grundspenkis. « Requirements analysis of Multi-Agent Based Intelligent Tutoring Systems ». Scientific Journal of Riga Technical University. Computer Sciences 38, no 38 (1 janvier 2009) : 37–47. http://dx.doi.org/10.2478/v10143-009-0003-0.
Texte intégralYi-Jen Su, Yi-Jen Su, et Sheng-Yuan Yang Yi-Jen Su. « A User-friendly Cloud-based Multi-agent Information System for Smart Energy-saving ». 網際網路技術學刊 25, no 2 (mars 2024) : 293–300. http://dx.doi.org/10.53106/160792642024032502011.
Texte intégralThèses sur le sujet "Multi-agent system analysis"
Hossack, John A. « A multi-agent system for automated post-fault disturbance analysis ». Thesis, University of Strathclyde, 2005. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21606.
Texte intégralKontarinis, Dionysios. « Debate in a multi-agent system : multiparty argumentation protocols ». Thesis, Paris 5, 2014. http://www.theses.fr/2014PA05S025/document.
Texte intégralIn this thesis multi-agent argumentation debates are studied. Our work is motivated by the issues which are raised when a large number of users interact and debate on the Web, by exchanging arguments on various topics. These issues are raised on the levels of representing the debating users' knowledge, representing the debate, computing the debate's conclusions, evaluating the debate's quality, defining specific protocols for user interaction, and studying debate strategies which users employ in order to achieve particular goals. This thesis' contribution consists in: a) proposing a way to model a multi-agent argumentation debate where the participants have different types of expertise, and proposing a way to aggregate their opinions; b) offering support to the agent who is arbitrating a debate, proposing a way to evaluate the quality of a debate on the basis of how confident we can be on its conclusions, and proposing solutions for improving the quality of a debate which lacks definite conclusions; c) offering support to the debating agents in order to determine which arguments they should put forward, studying dynamic argumentation systems, studying the potential ways in which an agent can influence a dynamic argumentation system in order to achieve his goal, studying the minimal change allowing an agent to achieve his goal, studying several argumentation strategies based on minimal change; d) defining, studying and evaluating multi-agent argumentation protocols, defining protocols of different types (1) based on numerical argument evaluation and (2) based on argument extensions, using different techniques to ensure a debate's coherence while ensuring some liberty of expression to the agents, and finally performing an important number of experiments (on debates) in order to test various strategies and evaluate them with respect to specific criteria
Kontarinis, Dionysios. « Debate in a multi-agent system : multiparty argumentation protocols ». Electronic Thesis or Diss., Paris 5, 2014. http://www.theses.fr/2014PA05S025.
Texte intégralIn this thesis multi-agent argumentation debates are studied. Our work is motivated by the issues which are raised when a large number of users interact and debate on the Web, by exchanging arguments on various topics. These issues are raised on the levels of representing the debating users' knowledge, representing the debate, computing the debate's conclusions, evaluating the debate's quality, defining specific protocols for user interaction, and studying debate strategies which users employ in order to achieve particular goals. This thesis' contribution consists in: a) proposing a way to model a multi-agent argumentation debate where the participants have different types of expertise, and proposing a way to aggregate their opinions; b) offering support to the agent who is arbitrating a debate, proposing a way to evaluate the quality of a debate on the basis of how confident we can be on its conclusions, and proposing solutions for improving the quality of a debate which lacks definite conclusions; c) offering support to the debating agents in order to determine which arguments they should put forward, studying dynamic argumentation systems, studying the potential ways in which an agent can influence a dynamic argumentation system in order to achieve his goal, studying the minimal change allowing an agent to achieve his goal, studying several argumentation strategies based on minimal change; d) defining, studying and evaluating multi-agent argumentation protocols, defining protocols of different types (1) based on numerical argument evaluation and (2) based on argument extensions, using different techniques to ensure a debate's coherence while ensuring some liberty of expression to the agents, and finally performing an important number of experiments (on debates) in order to test various strategies and evaluate them with respect to specific criteria
Alam, S. M. Shafiul. « Multi-agent estimation and control of cyber-physical systems ». Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20494.
Texte intégralElectrical and Computer Engineering
Balasubramaniam Natarajan
A cyber-physical system (CPS) typically consists of networked computational elements that control physical processes. As an integral part of CPS, the widespread deployment of communicable sensors makes the task of monitoring and control quite challenging especially from the viewpoint of scalability and complexity. This research investigates two unique aspects of overcoming such barriers, making a CPS more robust against data explosion and network vulnerabilities. First, the correlated characteristics of high-resolution sensor data are exploited to significantly reduce the fused data volume. Specifically, spatial, temporal and spatiotemporal compressed sensing approaches are applied to sample the measurements in compressed form. Such aggregation can directly be used in centralized static state estimation even for a nonlinear system. This approach results in a remarkable reduction in communication overhead as well as memory/storage requirement. Secondly, an agent based architecture is proposed, where the communicable sensors (identified as agents) also perform local information processing. Based on the local and underdetermined observation space, each agent can monitor only a specific subset of global CPS states, necessitating neighborhood information exchange. In this framework, we propose an agent based static state estimation encompassing local consensus and least square solution. Necessary bounds for the consensus weights are obtained through the maximum eigenvalue based convergence analysis and are verified for a radial power distribution network. The agent based formulation is also applied for a linear dynamical system and the consensus approach is found to exhibit better and more robust performance compared to a diffusion filter. The agent based Kalman consensus filter (AKCF) is further investigated, when the agents can choose between measurements and/or consensus, allowing the economic allocation of sensing and communication tasks as well as the temporary omission of faulty agents. The filter stability is guaranteed by deriving necessary consensus bounds through Lyapunov stability analysis. The states dynamically estimated from AKCF can be used for state-feedback control in a model predictive fashion. The effect of lossy communication is investigated and critical bounds on the link failure rate and the degree of consensus that ensure stability of the agent based control are derived and verified via simulations.
Yang, Ang Information Technology & Electrical Engineering Australian Defence Force Academy UNSW. « A networked multi-agent combat model : emergence explained ». Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2007. http://handle.unsw.edu.au/1959.4/38823.
Texte intégralDal, col Laura. « On distributed control analysis and design for Multi-Agent systems subject to limited information ». Thesis, Toulouse, INSA, 2016. http://www.theses.fr/2016ISAT0034/document.
Texte intégralMulti-agent systems are dynamical systems composed of multiple interacting elements known as agents . Each agent is a dynamical system with two characteristics. First, it is capable of autonomous action—that is, it is able to evolve according to a self-organised behavior, which is not influenced by the external environment. Second, it is able to exchange information with other agents in order to accomplish complex tasks, such as coordination, cooperation, and conflict resolution. One commonly studied problem in multi-agent systems is synchronization. The agents are synchronized when their time evolutions converge to a common trajectory. Many real-world applications, such as flocking and formation control, can be cast as synchronization problems. Agent synchronization can be achieved using different approaches. In this thesis, we propose distributed and centralized control paradigms for the synchronization of multi-agent systems. We develop necessary and sufficient conditions for the synchronization of multi-agent systems, composed by identical linear time-invariant agents, us- ing a Lyapunov-based approach. Then we use these conditions to design distributed synchronization controllers. Then, we extend this result to multi-agent systems subject to external disturbances enforcing disturbance rejection with 퐻 ∞ control techniques. Furthermore, we extend the analysis to multi-agent systems with actuator constraints using LMI-based anti-windup techniques. We test the proposed control design strategies in simulated examples among which two are inspired by real-world applications. In the first, we study airplane formation control as a synchronization problem. In the second, we analyze the delivery of video streams as a synchronization problem and we compare the results to existing controllers
Svahnberg, Mikael. « Background Analysis and Design of ABOS, an Agent-Based Operating System ». Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2792.
Texte intégralHAN, BEI. « Modeling and Analysis of Multilayer Complex Distribution System : A Multi-Agent Simulation for Decision Making ». Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2507530.
Texte intégralSaw, Tee Huu. « Evaluation of a multi-agent system for simulation and analysis of distributed denial-of-service attacks ». Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FSaw.pdf.
Texte intégralThesis advisor(s): James B. Michael, Mikhail Auguston. Includes bibliographical references (p. 52-54). Also available online.
Franco, Nicola. « Distributed Observer Analysis and Design ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19642/.
Texte intégralLivres sur le sujet "Multi-agent system analysis"
Massimo, Cossentino, dir. Multi-agent systems : 9th European workshop, EUMAS 2011, Maastricht, the Netherlands, November 14-15, 2011 : revised selected papers. Berlin : Springer, 2012.
Trouver le texte intégralJordi, Sabater-Mir, Sichman Jaime Simão et SpringerLink (Online service), dir. Multi-Agent-Based Simulation XII : International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Trouver le texte intégralChen, Guanrong, Wenwu Yu, Guanghui Wen et Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.
Trouver le texte intégralChen, Guanrong, Wenwu Yu, Guanghui Wen et Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.
Trouver le texte intégralChen, Guanrong, Wenwu Yu, Guanghui Wen et Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.
Trouver le texte intégralChen, Guanrong, Wenwu Yu, Guanghui Wen et Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.
Trouver le texte intégralPlinere, Darja. Development of a Multi-agent System for Supply Chain Management Efficiency Improvement. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226915.
Texte intégralEvaluation of a Multi-Agent System for Simulation and Analysis of Distributed Denial-of-Service Attacks. Storming Media, 2003.
Trouver le texte intégralScown, Philip James Andrew. Knowldege needs analysis for simultaneously multi-agent real-time systems. 1997.
Trouver le texte intégralLiu, Cheng-Lin, et Fei Liu. Consensus Problem of Delayed Linear Multi-Agent Systems : Analysis and Design. Springer Singapore Pte. Limited, 2016.
Trouver le texte intégralChapitres de livres sur le sujet "Multi-agent system analysis"
Jonker, Catholijn M., et Jan Treur. « Formal Analysis of Models for the Dynamics of Trust Based on Experiences ». Dans Multi-Agent System Engineering, 221–31. Berlin, Heidelberg : Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_18.
Texte intégralRouchier, J., et F. Bousquet. « Non-merchant Economy and Multi-agent System : An Analysis of Structuring Exchanges ». Dans Multi-Agent Systems and Agent-Based Simulation, 111–23. Berlin, Heidelberg : Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/10692956_8.
Texte intégralZanni-Merk, Cecilia, Santiago Almiron et Dominique Renaud. « A Multi-agents System for Analysis and Diagnosis of SMEs ». Dans Agent and Multi-Agent Systems : Technologies and Applications, 103–12. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22000-5_12.
Texte intégralReboiro-Jato, Miguel, Daniel Glez-Peña, Hugo M. Santos, Mário S. Diniz, Carlos Lodeiro, José L. Capelo et Florentino Fdez-Riverola. « Multi-agent System for Mass Spectrometry Analysis ». Dans Advances in Intelligent and Soft Computing, 87–95. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12433-4_11.
Texte intégralTanaka, Yoshikazu, et Kazuhiko Tsuda. « Model-Driven Development of Water Hammer Analysis Software for Irrigation Pipeline System ». Dans Agent and Multi-Agent Systems : Technology and Applications, 301–17. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39883-9_25.
Texte intégralKim, Taekyu, Young-Shin Han, Tae-young Kim et Jong-Sik Lee. « Ontology Methodology Based Context Awareness Using System Entity Structure for Network Analysis ». Dans Agent and Multi-Agent Systems : Technologies and Applications, 232–41. Berlin, Heidelberg : Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78582-8_24.
Texte intégralCabac, Lawrence, Nicolas Knaak, Daniel Moldt et Heiko Rölke. « Analysis of Multi-Agent Interactions with Process Mining Techniques ». Dans Multiagent System Technologies, 12–23. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11872283_2.
Texte intégralZabłocki, Michał. « Multi-agent Processes Analysis System in Prediction Task ». Dans Advances in Intelligent Systems and Computing, 73–84. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15147-2_7.
Texte intégralGoshima, Keiichi, et Hiroshi Takahashi. « Text Analysis System for Measuring the Influence of News Articles on Intraday Price Changes in Financial Markets ». Dans Agent and Multi-Agent Systems : Technology and Applications, 341–48. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39883-9_28.
Texte intégralFujiwara, Shohei, Yusuke Matsumoto, Aiko Suge et Hiroshi Takahashi. « Constructing a Valuation System Through Patent Document Analysis ». Dans Agents and Multi-Agent Systems : Technologies and Applications 2020, 321–30. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5764-4_30.
Texte intégralActes de conférences sur le sujet "Multi-agent system analysis"
Wang, Zhao-hui, et Sheng-rong Gong. « MAIRS : a content-based multi-agent image retrieval system ». Dans MIPPR 2005 Image Analysis Techniques, sous la direction de Deren Li et Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655288.
Texte intégralLiu, Bo, Xinmao Zhu et Jie Zhang. « Consensus Analysis of the Multi-agent System ». Dans 2010 International Workshop on Chaos-Fractals Theories and Applications (IWCFTA). IEEE, 2010. http://dx.doi.org/10.1109/iwcfta.2010.102.
Texte intégralSu-Fang Chen. « Automation Power Dispatching sheet System based Multi-Agent ». Dans 2009 International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA 2009). IEEE, 2009. http://dx.doi.org/10.1109/icacia.2009.5361097.
Texte intégralDawson-Diaz, Nathal, et Vianca Vega-Zepeda. « Lifecycle coverage analysis via multi-agent system methodology ». Dans 2017 6th International Conference on Software Process Improvement (CIMPS). IEEE, 2017. http://dx.doi.org/10.1109/cimps.2017.8169956.
Texte intégralBadih, Haissam, et Yasamin Alagrash. « Static Analysis Framework Based on Multi - Agent System ». Dans 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE, 2020. http://dx.doi.org/10.1109/iemtronics51293.2020.9216382.
Texte intégralReed, J. W. « A multi-agent system for distributed cluster analysis ». Dans "Third International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS'04)" W16L Workshop - 26th International Conference on Software Engineering. IEE, 2004. http://dx.doi.org/10.1049/ic:20040372.
Texte intégralLee, Hae-In, Hyo-Sang Shin et Antonios Tsourdos. « Stability Analysis on the Networked Multi-Agent System ». Dans 2018 17th European Control Conference (ECC). IEEE, 2018. http://dx.doi.org/10.23919/ecc.2018.8550052.
Texte intégralKorczak, Jerzy, Marcin Hernes et Maciej Bac. « Fundamental analysis in the multi-agent trading system ». Dans 2016 Federated Conference on Computer Science and Information Systems. IEEE, 2016. http://dx.doi.org/10.15439/2016f238.
Texte intégralMohammed, Khudhair Abbas, Salama A. Mostafa, Mohd Sharifuddin Ahmad et Moamin A. Mahmoud. « A qualitative analysis of human-agent functions for collaborative multi-agent system ». Dans 2014 International Conference on Information Technology and Multimedia (ICIMU). IEEE, 2014. http://dx.doi.org/10.1109/icimu.2014.7066638.
Texte intégralCasella, G., V. Deufemia et V. Mascardi. « A Multi-Agent System for Hand-drawn Diagram Recognition ». Dans Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2. IEEE, 2007. http://dx.doi.org/10.1109/icdar.2007.4377013.
Texte intégralRapports d'organisations sur le sujet "Multi-agent system analysis"
Barber, K. S. Multi-Scale Behavioral Modeling and Analysis Promoting a Fundamental Understanding of Agent-Based System Design and Operation. Fort Belvoir, VA : Defense Technical Information Center, mars 2007. http://dx.doi.org/10.21236/ada465613.
Texte intégralvan der Mensbrugghe, Dominique. The Standard GTAP Model in GAMS, Version 7.1. GTAP Working Paper, avril 2023. http://dx.doi.org/10.21642/gtap.wp92.
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