Auswahl der wissenschaftlichen Literatur zum Thema „Interaction multi-agents“
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Zeitschriftenartikel zum Thema "Interaction multi-agents"
Sherstyugina, Anastasiya, und Roman Nesterov. „Discovering Process Models from Event Logs of Multi-Agent Systems Using Event Relations“. Proceedings of the Institute for System Programming of the RAS 35, Nr. 3 (2023): 11–32. http://dx.doi.org/10.15514/ispras-2023-35(3)-1.
Der volle Inhalt der QuelleLiu, Yong, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen und Yang Gao. „Multi-Agent Game Abstraction via Graph Attention Neural Network“. Proceedings of the AAAI Conference on Artificial Intelligence 34, Nr. 05 (03.04.2020): 7211–18. http://dx.doi.org/10.1609/aaai.v34i05.6211.
Der volle Inhalt der QuelleBucher, Andreas, Mateusz Dolata, Sven Eckhardt, Dario Staehelin und Gerhard Schwabe. „Talking to Multi-Party Conversational Agents in Advisory Services: Command-based vs. Conversational Interactions“. Proceedings of the ACM on Human-Computer Interaction 8, GROUP (16.02.2024): 1–25. http://dx.doi.org/10.1145/3633072.
Der volle Inhalt der QuelleLi, Guangyu, Bo Jiang, Hao Zhu, Zhengping Che und Yan Liu. „Generative Attention Networks for Multi-Agent Behavioral Modeling“. Proceedings of the AAAI Conference on Artificial Intelligence 34, Nr. 05 (03.04.2020): 7195–202. http://dx.doi.org/10.1609/aaai.v34i05.6209.
Der volle Inhalt der Quellede Hauwere, Yann-Michaël, Sam Devlin, Daniel Kudenko und Ann Nowé. „Context-sensitive reward shaping for sparse interaction multi-agent systems“. Knowledge Engineering Review 31, Nr. 1 (Januar 2016): 59–76. http://dx.doi.org/10.1017/s0269888915000193.
Der volle Inhalt der QuelleEmelyanov, Viktor V. „Organization of the Agents Interaction in Multi-Agents of Production Coordination System“. IFAC Proceedings Volumes 33, Nr. 17 (Juli 2000): 485–89. http://dx.doi.org/10.1016/s1474-6670(17)39450-8.
Der volle Inhalt der QuelleDushkin, Roman. „Multi-agent systems for cooperative ITS“. Тренды и управление, Nr. 1 (Januar 2021): 42–50. http://dx.doi.org/10.7256/2454-0730.2021.1.34169.
Der volle Inhalt der QuelleZHANG, Kun, Yoichiro MAEDA und Yasutake TAKAHASHI. „Learning Model Considering the Interaction among Heterogeneous Multi-Agents“. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 24, Nr. 5 (2012): 1002–11. http://dx.doi.org/10.3156/jsoft.24.1002.
Der volle Inhalt der QuelleZhang, Kun, Yoichiro Maeda und Yasutake Takahashi. „Group Behavior Learning in Multi-Agent Systems Based on Social Interaction Among Agents“. Journal of Advanced Computational Intelligence and Intelligent Informatics 15, Nr. 7 (20.09.2011): 896–903. http://dx.doi.org/10.20965/jaciii.2011.p0896.
Der volle Inhalt der QuellePenner, Robin R. „Multi-Agent Societies for Collaborative Interaction“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, Nr. 15 (Oktober 1996): 762–66. http://dx.doi.org/10.1177/154193129604001503.
Der volle Inhalt der QuelleDissertationen zum Thema "Interaction multi-agents"
Kumar, Rohit. „Socially Capable Conversational Agents for Multi-Party Interactive Situations“. Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/162.
Der volle Inhalt der QuelleRiberio, Alexandre Moretto. „Un modèle d'interaction dynamique pour les systèmes multi-agents“. Université Joseph Fourier (Grenoble), 2000. http://www.theses.fr/2000GRE10035.
Der volle Inhalt der QuellePin, Paolo <1974>. „Four multi-agents economic models: from evolutionary competition to social interaction“. Doctoral thesis, Università Ca' Foscari Venezia, 2007. http://hdl.handle.net/10579/396.
Der volle Inhalt der QuelleDinu, Razvan. „Web Agents : towards online hybrid multi-agent systems“. Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20126/document.
Der volle Inhalt der QuelleMulti-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
Pauchet, Alexandre. „Modélisation cognitive d'interactions humaines dans un cadre de planification multi-agents“. Paris 13, 2006. http://www.theses.fr/2006PA132017.
Der volle Inhalt der QuelleOuadou, Kamel Eddine. „Amf : Un modèle d'architecture multi-Agents Multi-Facettes pour interfaces homme-machine et les outils associés“. Ecully, Ecole centrale de Lyon, 1994. http://www.theses.fr/1994ECDL0038.
Der volle Inhalt der QuelleA user interface architecture model provides a structure for interactive software in order to ease the design of friendly user interfaces, their automatic production and to take in to account standard components. These objectives haven't been satisfied yet despite the numerous models proposed. In this thesis we have studied the main aspects related to the interactive software production and its architecture. They concern both interaction models, styles and development tools. We distinguish two main classes of architecture models : the centralized ones and the multi-agents (distributed) ones. We propose the multi-agents model called AMF (Agent Multi-Facettes) in order to provide for the developer a software structure which : give the same importance to all aspects of dialog (interaction, multiple presentation, constraints handling, help and errors handling, capturing user behavior) ; bring more detailed decomposition of interactive agents ; define concepts and methods for communication between the interactive software components in order to ease an extension of the agents by new functions or services ; ease the elaboration of interactive software by automatisation ; and ease the elaboration of development tools. Concerning development tools, we consider those specialized environments are ease-to-use by designers and users of the application domain. So, we propose a software framework which constitutes a reference model for specialized environments in different domains. This framework integrates a set of basic and generic tools allowing the elaboration, the execution and the evaluation of the AMF user interface. Its architecture is also based on AMF model and tools integration is made by using a base of specializable AMF agents. Finally in order to apply our propositions, we conceveid and implemented an environment called E4 (in french Environment d'Etudes Ergonomiques d'Ecrans) specialized in development of in-car interfaces
Marzougui, Borhen. „Contribution à la modélisation et à la vérification des systèmes multi agents“. Thesis, Paris, CNAM, 2014. http://www.theses.fr/2014CNAM0918/document.
Der volle Inhalt der QuellePetri nets (PN) are currently the most promising approaches to model and to verify complex systems such as Multi Agent Systems (MAS). Several solutions have been proposed to solve the problems of communication, coordination and interaction among Agents. However, to best of our knowledge, none of this solution has able to handle both aspects: structural and behavioral. The thesis focuses on the problem of formal modeling and automatic and semi-automatic verification of properties in Multi Agent Systems. More specifically, the objective is to propose a new original formal model based on Petri nets, Agents Petri nets (APN), which express consistently more accurate a Multi Agent Systems. There is growing interest in the extension of this model for modeling the migration of Agents within the mobile Agent systems. This class of model allows focusing on the formal verification of classical properties such as alertness or absence of deadlock in the context of Multi Agent Systems
CARVALHO, GUSTAVO ROBICHEZ DE. „G-FRAMEWORKS: AN APPROACH TO PROMOTE THE REUSE OF INTERACTION LAWS IN OPEN MULTI-AGENTS SYSTEMS“. PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10169@1.
Der volle Inhalt der QuelleCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Um dos desafios de desenvolvimento de software é produzir aplicativos que são projetados para evoluir reduzindo esforços de manutenção. Diversas técnicas desenvolvidas para a governança de leis de interação em sistemas multiagentes abertos foram propostas, no entanto a flexibilidade e a reutilização de leis não ocorrem de forma sistemática com estas técnicas. A tecnologia de gframeworks visa orientar o projeto e a implementação de leis de interação em sistemas multiagentes abertos, com o objetivo de produzir mecanismos de governança de leis de interação. A flexibilidade em g- frameworks é obtida através da introdução de incrementos específicos que as instâncias em desenvolvimento requerem, de modo a completar e adaptar as funcionalidades originais do g-framework. A reutilização em g-frameworks vem justamente do re-aproveitamento de um mesmo projeto e código de lei de interação em instâncias geradas a partir do g-framework. Os benefícios obtidos por tal abordagem podem impactar positivamente o desenvolvimento de software em termos do custo e tempo total de construção de uma família de mecanismos de governança de sistemas multiagentes. Para isto, são apresentadas técnicas de governança de sistemas multiagentes abertos e técnicas de reutilização de leis de interação. Um método de orientação é proposto para guiar o desenvolvimento de g-frameworks. Experimentos foram desenvolvidos e são descritos neste documento.
One of the challenges of software development is to produce applications that are designed to evolve, reducing maintenance efforts. Many techniques developed to govern the interaction laws in open multi- agent systems were proposed, but the flexibility and reuse concerns of interaction laws were not systemically fulfilled by them. The technology of g- frameworks intends to guide the design and the implementation of interaction laws in open multi-agent systems, aiming to facilitate the production of interaction law governance mechanisms. The flexibility in g-frameworks is achieved by specific increments that the instances under development require, to complete and adapt the original functionalities of the g-framework. The reuse in g- frameworks is related to a common design and codification of that interaction laws that are shared by instances developed with the g-framework. The benefits of this approach might positively impact the development of software considering the costs and the necessary time to construct the family of governance mechanisms of multiagent systems. In this thesis, some techniques to promote reuse of interaction laws were propose to fulfill this goal. One method to orient the development of g-frameworks is proposed. Experiments were developed and they are described in this thesis.
Goracci, Laura. „Interaction of surfactants with DNA : a multi-technical approach to the study of DNA transfection agents“. Bordeaux 1, 2004. http://www.theses.fr/2004BOR12783.
Der volle Inhalt der QuellePersson, Christian. „Strategies for enhancing consumer interaction in electronic retailing“. Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3267.
Der volle Inhalt der QuelleBücher zum Thema "Interaction multi-agents"
1960-, Sun Ron, Hrsg. Cognition and multi-agent interaction: From cognitive modeling to social simulation. Cambridge: Cambridge University Press, 2006.
Den vollen Inhalt der Quelle findenKhosla, Rajiv. Intelligent Multimedia Multi-Agent Systems: A Human-Centered Approach. Boston, MA: Springer US, 2000.
Den vollen Inhalt der Quelle findenSun, Ron. Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2006.
Den vollen Inhalt der Quelle findenSun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2008.
Den vollen Inhalt der Quelle findenSun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2009.
Den vollen Inhalt der Quelle findenSun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2005.
Den vollen Inhalt der Quelle findenSun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2006.
Den vollen Inhalt der Quelle findenSun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2005.
Den vollen Inhalt der Quelle findenIntelligent Multimedia Multi-Agent Systems: A Human-Centered Approach (The Springer International Series in Engineering and Computer Science). Springer, 2000.
Den vollen Inhalt der Quelle findenSmart, Paul R. Mandevillian Intelligence. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198801764.003.0013.
Der volle Inhalt der QuelleBuchteile zum Thema "Interaction multi-agents"
Hassan, Mohd Fadzil, und Dave Robertson. „Addressing the Brittleness of Agent Interaction“. In Intelligent Agents and Multi-Agent Systems, 214–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89674-6_24.
Der volle Inhalt der QuelleMcGinnis, Jarred, und David Robertson. „Dynamic and Distributed Interaction Protocols“. In Adaptive Agents and Multi-Agent Systems II, 167–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32274-0_11.
Der volle Inhalt der QuelleOluyomi, Ayodele, und Leon Sterling. „A Dedicated Approach for Developing Agent Interaction Protocols“. In Intelligent Agents and Multi-Agent Systems, 162–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32128-6_13.
Der volle Inhalt der QuelleRibeiro, Richardson, Douglas M. Guisi, Marcelo Teixeira, Eden R. Dosciatti, Andre P. Borges und Fabrício Enembreck. „Combination of Interaction Models for Multi-Agents Systems“. In Enterprise Information Systems, 107–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62386-3_5.
Der volle Inhalt der QuelleBarbuceanu, Mihai, und Wai-Kau Lo. „Integrating Conversational Interaction and Constraint Based Reasoning in an Agent Building Shell“. In Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems, 144–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47772-1_13.
Der volle Inhalt der QuelleBakar, Najwa Abu, und Ali Selamat. „Assessing Agents Interaction Quality via Multi-agent Runtime Verification“. In Computational Collective Intelligence. Technologies and Applications, 175–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40495-5_18.
Der volle Inhalt der QuelleSoic, Renato, Pavle Skocir und Gordan Jezic. „Agent-Based System for Context-Aware Human-Computer Interaction“. In Agents and Multi-Agent Systems: Technologies and Applications 2018, 34–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92031-3_4.
Der volle Inhalt der QuelleMathieu, Philippe, und Sébastien Picault. „The Galaxian Project: A 3D Interaction-Based Animation Engine“. In Advances on Practical Applications of Agents and Multi-Agent Systems, 312–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38073-0_35.
Der volle Inhalt der QuelleLee, Wonki, und DaeEun Kim. „Local Interaction of Agents for Division of Labor in Multi-agent Systems“. In From Animals to Animats 14, 46–54. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43488-9_5.
Der volle Inhalt der QuelleXia, Xinhai, und Lunhui Xu. „Coordination of Urban Intersection Agents Based on Multi-interaction History Learning Method“. In Lecture Notes in Computer Science, 383–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13498-2_50.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Interaction multi-agents"
Karatas, Nihan, Shintaro Tamura, Momoko Fushiki und Michio Okada. „Multi-party Conversation of Driving Agents“. In HAI '18: 6th International Conference on Human-Agent Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3284432.3284466.
Der volle Inhalt der QuelleFang, Shu, Qipeng Liu und Xiaofan Wang. „Swarming of multi-agents with topological-based random interaction“. In 2013 Chinese Automation Congress (CAC). IEEE, 2013. http://dx.doi.org/10.1109/cac.2013.6775795.
Der volle Inhalt der QuelleShi Guodong und Hong Yiguang. „Multi-agent coordination with switching interaction structures and heterogeneous agents“. In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605540.
Der volle Inhalt der QuelleMaeedi, Ali, Muhammad Umer Khan und Bulent Irfanoglu. „Reciprocal Altruism-based Path Planning Optimization for Multi-Agents“. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2022. http://dx.doi.org/10.1109/hora55278.2022.9799828.
Der volle Inhalt der QuelleLiu, Lian, und Zimeng Wang. „Multi-Agents Interaction Approach based on Graph Network and Reinforcement Learning“. In 2022 9th International Conference on Dependable Systems and Their Applications (DSA). IEEE, 2022. http://dx.doi.org/10.1109/dsa56465.2022.00101.
Der volle Inhalt der QuelleShen, Yi-Zhen, und Yong-Sheng Ding. „An Intelligent Multi-Agents Method for Study on Membrane Protein Interaction Network“. In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5514946.
Der volle Inhalt der QuelleYang, Yu, Weiyong Yang, Zixin Guo und Jiang Zhu. „Research on consensus algorithm of multi energy interaction agents based on PBFT“. In 2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA). IEEE, 2020. http://dx.doi.org/10.1109/iciba50161.2020.9277089.
Der volle Inhalt der QuelleMohseni-Kabir, Anahita, David Isele und Kikuo Fujimura. „Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals“. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8793721.
Der volle Inhalt der QuelleRiedl, Mark, C. J. Saretto und R. Michael Young. „Managing interaction between users and agents in a multi-agent storytelling environment“. In the second international joint conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/860575.860694.
Der volle Inhalt der QuelleTian, Yu, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang und Xian Sun. „Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting“. In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/189.
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