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Artykuły w czasopismach na temat "Multi Agent Systems"
Dastani, Mehdi. "Programming multi-agent systems". Knowledge Engineering Review 30, nr 4 (wrzesień 2015): 394–418. http://dx.doi.org/10.1017/s0269888915000077.
Pełny tekst źródłaSCHWEITZER, FRANK, i MATTHEW E. TAYLOR. "EDITORIAL: AGENTS AND MULTI-AGENT SYSTEMS". Advances in Complex Systems 14, nr 02 (kwiecień 2011): iii—iv. http://dx.doi.org/10.1142/s0219525911003025.
Pełny tekst źródłaJulian, Vicente, i Vicente Botti. "Multi-Agent Systems". Applied Sciences 9, nr 7 (3.04.2019): 1402. http://dx.doi.org/10.3390/app9071402.
Pełny tekst źródłaBrafman, R. I., i M. Tennenholtz. "On Partially Controlled Multi-Agent Systems". Journal of Artificial Intelligence Research 4 (1.06.1996): 477–507. http://dx.doi.org/10.1613/jair.318.
Pełny tekst źródłaBRAZIER, F. M. T., C. M. JONKER, J. TREUR i N. J. E. WIJNGAARDS. "DELIBERATIVE EVOLUTION IN MULTI-AGENT SYSTEMS". International Journal of Software Engineering and Knowledge Engineering 11, nr 05 (październik 2001): 559–81. http://dx.doi.org/10.1142/s0218194001000670.
Pełny tekst źródłaYamada, Kazuaki, Kumiyo Nakakoji i Kanji Ueda. "A Mutli-agent Systems Approach to Analyze Online Community Activities(Multi-agent and Learning,Session: TP2-A)". Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2004.4 (2004): 51. http://dx.doi.org/10.1299/jsmeicam.2004.4.51_3.
Pełny tekst źródłaALONSO, EDUARDO, MARK D'INVERNO, DANIEL KUDENKO, MICHAEL LUCK i JASON NOBLE. "Learning in multi-agent systems". Knowledge Engineering Review 16, nr 3 (wrzesień 2001): 277–84. http://dx.doi.org/10.1017/s0269888901000170.
Pełny tekst źródłaFelcy Judith, P. "Leveraging Multi - Agent Systems for Efficient Grazing Management". International Journal of Science and Research (IJSR) 13, nr 6 (5.06.2024): 640–42. http://dx.doi.org/10.21275/sr24611203011.
Pełny tekst źródłaJONG, STEVEN DE, KARL TUYLS i KATJA VERBEECK. "Fairness in multi-agent systems". Knowledge Engineering Review 23, nr 2 (czerwiec 2008): 153–80. http://dx.doi.org/10.1017/s026988890800132x.
Pełny tekst źródłaPark, Sankyu, Key-Sun Choi i K. H. (Kane) Kim. "A Framework for Multi-Agent Systems with Multi-Modal User Interfaces in Distributed Computing Environments". International Journal of Software Engineering and Knowledge Engineering 07, nr 03 (wrzesień 1997): 351–69. http://dx.doi.org/10.1142/s0218194097000217.
Pełny tekst źródłaRozprawy doktorskie na temat "Multi Agent Systems"
Lau, Pik Lik Billy. "Interdependence between agents in multi agent systems". Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/439.
Pełny tekst źródłaDinu, Razvan. "Web Agents : towards online hybrid multi-agent systems". Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20126/document.
Pełny tekst źródłaMulti-agent systems have been used in a wide range of applications from computer-based simulations and mobile robots to agent-oriented programming and intelligent systems in real environments. However, the largest environment in which software agents can interact is, without any doubt, the World Wide Web and ever since its birth agents have been used in various applications such as search engines, e-commerce, and most recently the semantic web. However, agents have yet to be used on the Web in a way that leverages the full power of artificial intelligence and multi-agent systems, which have the potential of making life much easier for humans. This thesis investigates how this can be changed, and how agents can be brought to the core of the online experience in the sense that we want people to talk and interact with agents instead of "just using yet another application or website". We analyze what makes it hard to develop intelligent agents on the web and we propose a web agent model (WAM) inspired by recent results in multi-agent systems. Nowadays, a simple conceptual model is the key for widespread adoption of new technologies and this is why we have chosen the MASQ meta-model as the basis for our approach, which provides the best compromise in terms of simplicity of concepts, generality and applicability to the web. Since until now the model was introduced only in an informal way, we also provide a clear formalization of the MASQ meta-model.Next, we identify the three main challenges that need to be addressed when building web agents: integration of bodies, web semantics and user friendliness. We focus our attention on the first two and we propose a set of principles to guide the development of what we call strong web agents. Finally, we validate our proposal through the implementation of an award winning platform called Kleenk. Our work is just a step towards fulfilling the vision of having intelligent web agents mediate the interaction with the increasingly complex World Wide Web
Cardoso, Rafael Cau? "A decentralised online multi-agent planning framework for multi-agent systems". Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2018. http://tede2.pucrs.br/tede2/handle/tede/8048.
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Made available in DSpace on 2018-05-15T19:14:18Z (GMT). No. of bitstreams: 1 RAFAEL_CAU?_CARDOSO_TES.pdf: 14431785 bytes, checksum: 227194ed28a9e55c3ab1fbedebf06922 (MD5) Previous issue date: 2018-03-27
Sistemas multiagentes freq?entemente cont?m ambientes complexos e din?micos, nos quais os planos dos agentes podem falhar a qualquer momento durante a execu??o do sistema. Al?m disso, novos objetivos podem aparecer para os quais n?o existem nenhum plano dispon?vel. T?cnicas de planejamento s?o bem adequadas para lidar com esses problemas. H? uma quantidade extensa de pesquisa em planejamento centralizado para um ?nico agente, por?m, at? ent?o planejamento multiagente n?o foi completamente explorado na pr?tica. Plataformas multiagentes tipicamente proporcionam diversos mecanismos para coordena??o em tempo de execu??o, frequentemente necess?rios em planejamento online. Neste contexto, planejamento multiagente descentralizado pode ser eficiente e eficaz, especialmente em dom?nios fracamente acoplados, al?m de garantir algumas propriedades importantes em sistemas de agentes como privacidade e autonomia. N?s abordamos esse problema ao apresentar uma t?cnica para planejamento multiagente online que combina aloca??o de objetivos, planejamento individual utilizando rede de tarefas hier?rquicas (HTN), e coordena??o em tempo de execu??o para apoiar a realiza??o de objetivos sociais em sistemas multiagentes. Especificamente, n?s apresentamos um framework chamado Decentralised Online Multi-Agent Planning (DOMAP). Experimentos com tr?s dom?nios fracamente acoplados demonstram que DOMAP supera quatro planejadores multiagente do estado da arte com respeito a tempo de planejamento e tempo de execu??o, particularmente nos problemas mais dif?ceis.
Multi-agent systems often contain dynamic and complex environments where agents? course of action (plans) can fail at any moment during execution of the system. Furthermore, new goals can emerge for which there are no known plan available in any of the agents? plan library. Automated planning techniques are well suited to tackle both of these issues. Extensive research has been done in centralised planning for singleagents, however, so far multi-agent planning has not been fully explored in practice. Multi-agent platforms typically provide various mechanisms for runtime coordination, which are often required in online planning (i.e., planning during runtime). In this context, decentralised multi-agent planning can be efficient as well as effective, especially in loosely-coupled domains, besides also ensuring important properties in agent systems such as privacy and autonomy. We address this issue by putting forward an approach to online multi-agent planning that combines goal allocation, individual Hierarchical Task Network (HTN) planning, and coordination during runtime in order to support the achievement of social goals in multi-agent systems. In particular, we present a planning and execution framework called Decentralised Online Multi-Agent Planning (DOMAP). Experiments with three loosely-coupled planning domains show that DOMAP outperforms four other state-of-the-art multi agent planners with regards to both planning and execution time, particularly in the most difficult problems.
Easwaran, Aneurin Maatchiman. "Federation in multi-agent systems". Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430853.
Pełny tekst źródłaRaimondi, Franco. "Model checking multi-agent systems". Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/5627/.
Pełny tekst źródłaHuang, Zhan. "Mutation for multi-agent systems". Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/19270/.
Pełny tekst źródłaHaque, Musad Al. "Biologically inspired heterogeneous multi-agent systems". Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37138.
Pełny tekst źródłaGill, Martin L. "Combining MAS and P2P systems : the Agent Trees Multi-Agent System (ATMAS)". Thesis, University of Stirling, 2005. http://hdl.handle.net/1893/108.
Pełny tekst źródłaRahwan, Iyad. "Interest-based negotiation in multi-agent systems". Connect to thesis, 2004. http://repository.unimelb.edu.au/10187/2885.
Pełny tekst źródłaSeyboth, Georg Sebastian. "Event-based Controlfor Multi-Agent Systems". Thesis, KTH, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105117.
Pełny tekst źródłaKsiążki na temat "Multi Agent Systems"
Wagner, Tom, i Omer F. Rana, red. Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47772-1.
Pełny tekst źródłaRosenfeld, Ariel, i Nimrod Talmon, red. Multi-Agent Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82254-5.
Pełny tekst źródłaBulling, Nils, red. Multi-Agent Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17130-2.
Pełny tekst źródłaSlavkovik, Marija, red. Multi-Agent Systems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14174-5.
Pełny tekst źródłaCossentino, Massimo, Michael Kaisers, Karl Tuyls i Gerhard Weiss, red. Multi-Agent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34799-3.
Pełny tekst źródłaBaumeister, Dorothea, i Jörg Rothe, red. Multi-Agent Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20614-6.
Pełny tekst źródłaMalvone, Vadim, i Aniello Murano, red. Multi-Agent Systems. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43264-4.
Pełny tekst źródła1967-, Alonso Eduardo, Kudenko Daniel 1968- i Kazakov Dimitar 1967-, red. Adaptive agents and multi-agent systems, adaptation and multi-agent learning. Berlin: Springer, 2003.
Znajdź pełny tekst źródłaAlonso, Eduardo, Daniel Kudenko i Dimitar Kazakov, red. Adaptive Agents and Multi-Agent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44826-8.
Pełny tekst źródłaBui, The Duy, Tuong Vinh Ho i Quang Thuy Ha, red. Intelligent Agents and Multi-Agent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89674-6.
Pełny tekst źródłaCzęści książek na temat "Multi Agent Systems"
Pernpeintner, Michael, Christian Bartelt i Heiner Stuckenschmidt. "Governing Black-Box Agents in Competitive Multi-Agent Systems". W Multi-Agent Systems, 19–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82254-5_2.
Pełny tekst źródłaGleizes, Marie-Pierre. "Self-adaptive Complex Systems". W Multi-Agent Systems, 114–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34799-3_8.
Pełny tekst źródłaJarvis, Dennis, Jacqueline Jarvis, Ralph Rönnquist i Lakhmi C. Jain. "Multi-Agent Systems". W Multiagent Systems and Applications, 1–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33320-0_1.
Pełny tekst źródłaShekhar, Shashi, i Hui Xiong. "Multi Agent Systems". W Encyclopedia of GIS, 747. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_838.
Pełny tekst źródłaBenmammar, Badr, i Asma Amraoui. "Multi-Agent Systems". W Radio Resource Allocation and Dynamic Spectrum Access, 39–52. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118575116.ch3.
Pełny tekst źródłaPérez Castaño, Arnaldo. "Multi-Agent Systems". W Practical Artificial Intelligence, 193–220. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3357-3_5.
Pełny tekst źródłaBurguillo, Juan C. "Multi-agent Systems". W Self-organizing Coalitions for Managing Complexity, 69–87. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69898-4_5.
Pełny tekst źródłaMes, Martijn, i Berry Gerrits. "Multi-agent Systems". W Operations, Logistics and Supply Chain Management, 611–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92447-2_27.
Pełny tekst źródłaLunze, J., F. Allgöwer, M. Bürger, O. Demir, U. Helmke, A. von Heusinger i R. Schuh. "Multi-agent Systems". W Control Theory of Digitally Networked Dynamic Systems, 263–324. Heidelberg: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01131-8_6.
Pełny tekst źródłaGleizes, Marie-Pierre, Valérie Camps, Anthony Karageorgos i Giovanna Di Marzo Serugendo. "Agents and Multi-Agent Systems". W Natural Computing Series, 105–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17348-6_5.
Pełny tekst źródłaStreszczenia konferencji na temat "Multi Agent Systems"
"Table of contents". W Multi-Agent Systems. IEEE, 2011. http://dx.doi.org/10.1109/iama.2011.6048987.
Pełny tekst źródła"Agents and multi-agent systems". W 8th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2004. http://dx.doi.org/10.1109/cacwd.2004.1349032.
Pełny tekst źródła"USING ROBOTIC SYSTEMS IN A SMART HOUSE FOR PEOPLE WITH DISABILITIES". W Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001502902810286.
Pełny tekst źródła"ROBOTIC SOCCER: THE GATEWAY FOR POWERFUL ROBOTIC APPLICATIONS". W Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001503202870293.
Pełny tekst źródła"CONCEPTS FOR AUTONOMOUS COMMAND AND CONTROL". W Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001507403220329.
Pełny tekst źródła"COLLABORATION VS. OBSERVATION: AN EMPIRICAL STUDY IN MULTIAGENT PLANNING UNDER RESOURCE CONSTRAINT". W Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001508702940300.
Pełny tekst źródła"TRILATERATION LOCALIZATION FOR MULTI-ROBOT TEAMS". W Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001508803010307.
Pełny tekst źródła"POTENTIAL FIELD BASED INTEGRATED EXPLORATION FOR MULTI-ROBOT TEAMS". W Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001508903080314.
Pełny tekst źródła"A GENERIC ARCHITECTURE FOR A COMPANION ROBOT". W Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001509103150321.
Pełny tekst źródłaGawali, R. D., i B. B. Meshram. "Agent-based autonomous Examination Systems". W Multi-Agent Systems (IAMA 2009). IEEE, 2009. http://dx.doi.org/10.1109/iama.2009.5228095.
Pełny tekst źródłaRaporty organizacyjne na temat "Multi Agent Systems"
NAVAL RESEARCH LAB WASHINGTON DC. Evolvability of Multi-Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, marzec 2006. http://dx.doi.org/10.21236/ada444826.
Pełny tekst źródłaMarik, Vladimir, Michal Pechoucek, David Sislak, Martin Rehak, Jiri Lazansky i Jan Tozicka. Inaccessibility in Multi-Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, marzec 2004. http://dx.doi.org/10.21236/ada425140.
Pełny tekst źródłaLuke, Sean, i Jeffrey K. Bassett. Adaptive and Robust Multi-Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2008. http://dx.doi.org/10.21236/ada483725.
Pełny tekst źródłaLerman, Kristina, Maja Mataric i Aram Galstyan. Mathematical Modeling of Large Multi-Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2005. http://dx.doi.org/10.21236/ada439172.
Pełny tekst źródłaZilberstein, Shlomo. Decision-Theoretic Foundations for Multi-Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2011. http://dx.doi.org/10.21236/ada567155.
Pełny tekst źródłaFang, Frank, Elaine Reed, David K. Dickason, H. J. Simien i Michelle L. Wulff. Technology Review of Multi-Agent Systems and Tools. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 2005. http://dx.doi.org/10.21236/ada434259.
Pełny tekst źródłaHovakimyan, Naira. Robust Architectures for Complex Multi-Agent Heterogeneous Systems. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2014. http://dx.doi.org/10.21236/ada610191.
Pełny tekst źródłaNissen, Mark E. Virtual Supply Chain Re-Intermediation Through Multi-Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2002. http://dx.doi.org/10.21236/ada408668.
Pełny tekst źródłaGhose, Debasish. Broadcast Based Control of Multi-Agent Systems for Consensus. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2010. http://dx.doi.org/10.21236/ada533400.
Pełny tekst źródłaShoham, Yoav. Communication and Coordination in Multi-Agent Systems: Agent-Oriented Programming and Computational Social Laws. Fort Belvoir, VA: Defense Technical Information Center, grudzień 1996. http://dx.doi.org/10.21236/ada329826.
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