Relevant bibliographies by topics / Multi Agent Systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multi Agent Systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Multi Agent Systems"

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Gómez-Sanz, Jorge, and Juan Pavón. "Methodologies for Developing Multi-Agent Systems." JUCS - Journal of Universal Computer Science 10, no. (4) (2004): 359–74. https://doi.org/10.3217/jucs-010-04-0359.

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As agent technology has matured with the deployment of a variety of applications, particularly in open and dynamic environments such as the web, several methodologies and tools have been proposed to support software engineers during the development process of such systems. This article takes an overall look at representative agent-oriented methodologies by considering how they support specific agent-related concepts. This serves to identify areas in which this technology has shown its potential to solve new problems, e.g., the ability to manage complexity with an organizational perspective, go
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Dastani, Mehdi. "Programming multi-agent systems." Knowledge Engineering Review 30, no. 4 (2015): 394–418. http://dx.doi.org/10.1017/s0269888915000077.

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AbstractWith the significant advances in the area of autonomous agents and multi-agent systems in the last decade, promising technologies for the development and engineering of multi-agent systems have emerged. The result is a variety of agent-oriented programming languages, development frameworks, execution platforms, and tools that facilitate building and engineering of multi-agent systems. This paper provides an overview of the multi-agent programming research field and explains the aim and characteristics of various multi-agent programming languages and development frameworks. This overvie
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SCHWEITZER, FRANK, and MATTHEW E. TAYLOR. "EDITORIAL: AGENTS AND MULTI-AGENT SYSTEMS." Advances in Complex Systems 14, no. 02 (2011): iii—iv. http://dx.doi.org/10.1142/s0219525911003025.

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Julian, Vicente, and Vicente Botti. "Multi-Agent Systems." Applied Sciences 9, no. 7 (2019): 1402. http://dx.doi.org/10.3390/app9071402.

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With the current advance of technology, agent-based applications are becoming a standard in a great variety of domains such as e-commerce, logistics, supply chain management, telecommunications, healthcare, and manufacturing. Another reason for the widespread interest in multi-agent systems is that these systems are seen as a technology and a tool that helps in the analysis and development of new models and theories in large-scale distributed systems or in human-centered systems. This last aspect is currently of great interest due to the need for democratization in the use of technology that a
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Brafman, R. I., and M. Tennenholtz. "On Partially Controlled Multi-Agent Systems." Journal of Artificial Intelligence Research 4 (June 1, 1996): 477–507. http://dx.doi.org/10.1613/jair.318.

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Motivated by the control theoretic distinction between controllable and uncontrollable events, we distinguish between two types of agents within a multi-agent system: controllable agents, which are directly controlled by the system's designer, and uncontrollable agents, which are not under the designer's direct control. We refer to such systems as partially controlled multi-agent systems, and we investigate how one might influence the behavior of the uncontrolled agents through appropriate design of the controlled agents. In particular, we wish to understand which problems are naturally descri
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BRAZIER, F. M. T., C. M. JONKER, J. TREUR, and N. J. E. WIJNGAARDS. "DELIBERATIVE EVOLUTION IN MULTI-AGENT SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 11, no. 05 (2001): 559–81. http://dx.doi.org/10.1142/s0218194001000670.

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Evolution of automated systems, in particular evolution of automated agents based on agent deliberation, is the topic of this paper. Evolution is not a merely material process, it requires interaction within and between individuals, their environments and societies of agents. An architecture for an individual agent capable of (1) deliberation about the creation of new agents, and (2) (run-time) creation of a new agent on the basis of this, is presented. The agent architecture is based on an existing generic agent model, and includes explicit formal conceptual representations of both design str
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ALONSO, EDUARDO, MARK D'INVERNO, DANIEL KUDENKO, MICHAEL LUCK, and JASON NOBLE. "Learning in multi-agent systems." Knowledge Engineering Review 16, no. 3 (2001): 277–84. http://dx.doi.org/10.1017/s0269888901000170.

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In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous, rational and flexible behaviour of entities such as software programs or robots, and their interaction and coordination in such diverse areas as robotics (Kitano et al., 1997), information retrieval and management (Klusch, 1999), and simulation (Gilbert & Conte, 1995). When designing agent systems, it is impossible to foresee all the potential situations an agent may encounter and specify an agent
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JONG, STEVEN DE, KARL TUYLS, and KATJA VERBEECK. "Fairness in multi-agent systems." Knowledge Engineering Review 23, no. 2 (2008): 153–80. http://dx.doi.org/10.1017/s026988890800132x.

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AbstractMulti-agent systems are complex systems in which multiple autonomous entities, called agents, cooperate in order to achieve a common or personal goal. These entities may be computer software, robots, and also humans. In fact, many multi-agent systems are intended to operate in cooperation with or as a service for humans. Typically, multi-agent systems are designed assuming perfectly rational, self-interested agents, according to the principles of classical game theory. Recently, such strong assumptions have been relaxed in various ways. One such way is explicitly including principles d
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Park, Sankyu, Key-Sun Choi, and 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, no. 03 (1997): 351–69. http://dx.doi.org/10.1142/s0218194097000217.

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In current multi-agent systems, the user is typically interacting with a single agent at a time through relatively inflexible and modestly intelligent interfaces. As a consequence, these systems force the users to submit simplistic requests only and suffer from problems such as the low-level nature of the system services offered to users, the weak reusability of agents, and the weak extensibility of the systems. In this paper, a framework for multi-agent systems called the open agent architecture (OAA) which reduces such problems, is discussed. The OAA is designed to handle complex requests th
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Yamada, Kazuaki, Kumiyo Nakakoji, and 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.

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Dissertations / Theses on the topic "Multi Agent Systems"

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Lau, Pik Lik Billy. "Interdependence between agents in multi agent systems." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/439.

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Interdependence relationships have defined the foundation of cooperation between agents but limited by existing protocols. As a consequence, the idle agents are not able to join and benefit through it. First, the inter-relationship has been studied and certified for the purpose of securing mutual gains. Next, the join coalition mechanism is proposed to help idle agents to join existing macroscopic and microscopic coalitions which are based on the goals compatibilities, budget and trust
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Dinu, Razvan. "Web Agents : towards online hybrid multi-agent systems." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20126/document.

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Multi-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 th
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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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Easwaran, Aneurin Maatchiman. "Federation in multi-agent systems." Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430853.

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Raimondi, Franco. "Model checking multi-agent systems." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/5627/.

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A multi-agent system (MAS) is usually understood as a system composed of interacting autonomous agents. In this sense, MAS have been employed successfully as a modelling paradigm in a number of scenarios, especially in Computer Science. However, the process of modelling complex and heterogeneous systems is intrinsically prone to errors: for this reason, computer scientists are typically concerned with the issue of verifying that a system actually behaves as it is supposed to, especially when a system is complex. Techniques have been developed to perform this task: testing is the most common te
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Huang, Zhan. "Mutation for multi-agent systems." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/19270/.

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Although much progress has been made in engineering multi-agent systems (MAS), many issues remain to be resolved. One issue is that there is a lack of techniques that can adequately evaluate the effectiveness (fault detection ability) of tests or testing techniques for MAS. Another is that there are no systematic approaches to evaluating the impact of possible semantic changes (changes in the interpretation of agent programs) on agents' behaviour and performance. This thesis introduces syntactic and semantic mutation to address these two issues. Syntactic mutation is a technique that systemati
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Haque, Musad Al. "Biologically inspired heterogeneous multi-agent systems." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37138.

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Many biological systems are known to accomplish complex tasks in a decentralized, robust, and scalable manner - characteristics that are desirable to the coordination of engineered systems as well. Inspired by nature, we produce coordination strategies for a network of heterogenous agents and in particular, we focus on intelligent collective systems. Bottlenose dolphins and African lions are examples of intelligent collective systems since they exhibit sophisticated social behaviors and effortlessly transition between functionalities. Through preferred associations, specialized roles, and self
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Gill, 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.

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The seamless retrieval of information distributed across networks has been one of the key goals of many systems. Early solutions involved the use of single static agents which would retrieve the unfiltered data and then process it. However, this was deemed costly and inefficient in terms of the bandwidth since complete files need to be downloaded when only a single value is often all that is required. As a result, mobile agents were developed to filter the data in situ before returning it to the user. However, mobile agents have their own associated problems, namely security and control. The A
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Rahwan, Iyad. "Interest-based negotiation in multi-agent systems." Connect to thesis, 2004. http://repository.unimelb.edu.au/10187/2885.

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Software systems involving autonomous interacting software entities (or agents) present new challenges in computer science and software engineering. A particularly challenging problem is the engineering of various forms of interaction among agents. Interaction may be aimed at enabling agents to coordinate their activities, cooperate to reach common objectives, or exchange resources to better achieve their individual objectives. This thesis is concerned with negotiation: a process through which multiple self-interested agents can reach agreement over the exchange of scarce resources. In particu
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Seyboth, Georg Sebastian. "Event-based Controlfor Multi-Agent Systems." Thesis, KTH, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105117.

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In this thesis, a novel approach to the average consensus problem for multi-agent systems is followed. A new event-based control strategy is proposed, which incorporates event-based scheduling of state measurement broadcasts over the network. The control-laws are based on the resulting piecewise constant functions of these measurement values. This facilitates implementation on digital platforms such as microprocessors and reduces the number of interagent communications over the network. Starting from a basic problem setup with singleintegrator agents, fixed undirected connected communication t
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Books on the topic "Multi Agent Systems"

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Wagner, Tom, and Omer F. Rana, eds. Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47772-1.

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Rosenfeld, Ariel, and Nimrod Talmon, eds. Multi-Agent Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82254-5.

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Bulling, Nils, ed. Multi-Agent Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17130-2.

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Slavkovik, Marija, ed. Multi-Agent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14174-5.

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Cossentino, Massimo, Michael Kaisers, Karl Tuyls, and Gerhard Weiss, eds. Multi-Agent Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34799-3.

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Baumeister, Dorothea, and Jörg Rothe, eds. Multi-Agent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20614-6.

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Malvone, Vadim, and Aniello Murano, eds. Multi-Agent Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43264-4.

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Collier, Rem, Alessandro Ricci, Vivek Nallur, Samuele Burattini, and Andrea Omicini, eds. Multi-Agent Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93930-3.

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1967-, Alonso Eduardo, Kudenko Daniel 1968-, and Kazakov Dimitar 1967-, eds. Adaptive agents and multi-agent systems, adaptation and multi-agent learning. Springer, 2003.

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Alonso, Eduardo, Daniel Kudenko, and Dimitar Kazakov, eds. Adaptive Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44826-8.

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Book chapters on the topic "Multi Agent Systems"

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Pernpeintner, Michael, Christian Bartelt, and Heiner Stuckenschmidt. "Governing Black-Box Agents in Competitive Multi-Agent Systems." In Multi-Agent Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82254-5_2.

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Gleizes, Marie-Pierre. "Self-adaptive Complex Systems." In Multi-Agent Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34799-3_8.

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Jarvis, Dennis, Jacqueline Jarvis, Ralph Rönnquist, and Lakhmi C. Jain. "Multi-Agent Systems." In Multiagent Systems and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33320-0_1.

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Shekhar, Shashi, and Hui Xiong. "Multi Agent Systems." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_838.

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Benmammar, Badr, and Asma Amraoui. "Multi-Agent Systems." In Radio Resource Allocation and Dynamic Spectrum Access. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118575116.ch3.

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Pérez Castaño, Arnaldo. "Multi-Agent Systems." In Practical Artificial Intelligence. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3357-3_5.

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Burguillo, Juan C. "Multi-agent Systems." In Self-organizing Coalitions for Managing Complexity. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69898-4_5.

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Mes, Martijn, and Berry Gerrits. "Multi-agent Systems." In Operations, Logistics and Supply Chain Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92447-2_27.

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Lunze, J., F. Allgöwer, M. Bürger, et al. "Multi-agent Systems." In Control Theory of Digitally Networked Dynamic Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01131-8_6.

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Gleizes, Marie-Pierre, Valérie Camps, Anthony Karageorgos, and Giovanna Di Marzo Serugendo. "Agents and Multi-Agent Systems." In Natural Computing Series. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17348-6_5.

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Conference papers on the topic "Multi Agent Systems"

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"Table of contents." In Multi-Agent Systems. IEEE, 2011. http://dx.doi.org/10.1109/iama.2011.6048987.

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"Agents and multi-agent systems." In 8th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2004. http://dx.doi.org/10.1109/cacwd.2004.1349032.

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"USING ROBOTIC SYSTEMS IN A SMART HOUSE FOR PEOPLE WITH DISABILITIES." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001502902810286.

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"ROBOTIC SOCCER: THE GATEWAY FOR POWERFUL ROBOTIC APPLICATIONS." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001503202870293.

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"CONCEPTS FOR AUTONOMOUS COMMAND AND CONTROL." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001507403220329.

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"COLLABORATION VS. OBSERVATION: AN EMPIRICAL STUDY IN MULTIAGENT PLANNING UNDER RESOURCE CONSTRAINT." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001508702940300.

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"TRILATERATION LOCALIZATION FOR MULTI-ROBOT TEAMS." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001508803010307.

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"POTENTIAL FIELD BASED INTEGRATED EXPLORATION FOR MULTI-ROBOT TEAMS." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001508903080314.

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"A GENERIC ARCHITECTURE FOR A COMPANION ROBOT." In Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001509103150321.

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Gawali, R. D., and B. B. Meshram. "Agent-based autonomous Examination Systems." In Multi-Agent Systems (IAMA 2009). IEEE, 2009. http://dx.doi.org/10.1109/iama.2009.5228095.

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Reports on the topic "Multi Agent Systems"

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NAVAL RESEARCH LAB WASHINGTON DC. Evolvability of Multi-Agent Systems. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada444826.

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Marik, Vladimir, Michal Pechoucek, David Sislak, Martin Rehak, Jiri Lazansky, and Jan Tozicka. Inaccessibility in Multi-Agent Systems. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425140.

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Luke, Sean, and Jeffrey K. Bassett. Adaptive and Robust Multi-Agent Systems. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada483725.

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Lerman, Kristina, Maja Mataric, and Aram Galstyan. Mathematical Modeling of Large Multi-Agent Systems. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439172.

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Zilberstein, Shlomo. Decision-Theoretic Foundations for Multi-Agent Systems. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada567155.

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Fang, Frank, Elaine Reed, David K. Dickason, H. J. Simien, and Michelle L. Wulff. Technology Review of Multi-Agent Systems and Tools. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434259.

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Hovakimyan, Naira. Robust Architectures for Complex Multi-Agent Heterogeneous Systems. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada610191.

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Nissen, Mark E. Virtual Supply Chain Re-Intermediation Through Multi-Agent Systems. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408668.

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Ghose, Debasish. Broadcast Based Control of Multi-Agent Systems for Consensus. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada533400.

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Shoham, Yoav. Communication and Coordination in Multi-Agent Systems: Agent-Oriented Programming and Computational Social Laws. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada329826.

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