Relevant bibliographies by topics / Autonomous agents and multiagent systems

Contents

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

Academic literature on the topic 'Autonomous agents and multiagent systems'

Author: Grafiati
Published: 10 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Autonomous agents and multiagent systems"

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Ur Rehman, Shafiq, and Aamer Nadeem. "An Approach to Model Based Testing of Multiagent Systems." Scientific World Journal 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/925206.

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Autonomous agents perform on behalf of the user to achieve defined goals or objectives. They are situated in dynamic environment and are able to operate autonomously to achieve their goals. In a multiagent system, agents cooperate with each other to achieve a common goal. Testing of multiagent systems is a challenging task due to the autonomous and proactive behavior of agents. However, testing is required to build confidence into the working of a multiagent system. Prometheus methodology is a commonly used approach to design multiagents systems. Systematic and thorough testing of each interac
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Endriss, Ulle, Ann Nowé, Maria Gini, et al. "Autonomous agents and multiagent systems." AI Matters 7, no. 3 (2021): 29–37. http://dx.doi.org/10.1145/3511322.3511329.

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The 2021 edition of AAMAS, the International Conference on Autonomous Agents and Multiagent Systems, took place from the 3rd to 7th of May 2021 (aamas2021.soton.ac.uk). This year it was organized in the form of a virtual event and attracted over 1,000 registered participants. As every year, the conference featured an exciting programme of contributed talks, keynotes addresses, tutorials, affiliated workshops, a doctoral consortium, and more.
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Dahlstedt, Palle, and Peter McBurney. "Musical Agents: Toward Computer-Aided Music Composition Using Autonomous Software Agents." Leonardo 39, no. 5 (2006): 469–70. http://dx.doi.org/10.1162/leon.2006.39.5.469.

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The authors, a composer and a computer scientist, discuss their collaborative research on the use of multiagent systems and their applicability to music and musical composition. They describe the development of software and techniques for the composition of generative music.
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Muñoz, Antonio, Pablo Anton, and Antonio Maña. "Multiagent Systems Protection." Advances in Software Engineering 2011 (August 15, 2011): 1–9. http://dx.doi.org/10.1155/2011/281517.

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Agent-systems can bring important benefits especially in applications scenarios where highly distributed, autonomous, intelligence, self-organizing, and robust systems are required. Furthermore, the high levels of autonomy and self-organizations of agent systems provide excellent support for developments of systems in which dependability is essential. Both Ubiquitous Computing and Ambient Intelligence scenarios belong in this category. Unfortunately, the lack of appropriate security mechanisms, both their enforcement and usability, is hindering the application of this paradigm in real-world ap
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Hyso, Alketa, and Eva Cipi. "Autonomous Agents as Tools for Modeling and Building Complex Control Systems that Operate in Dynamic and Unpredictable Environment." International Journal of Business & Technology 1, no. 2 (2013): 47–53. http://dx.doi.org/10.33107/ijbte.2013.1.2.05.

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Complex control systems that operate in not entirely predictable environment have to deal with this environment in an autonomous manner using adaptability, the ability to predict environmental changes, and to maintain their integrity. Elements of the system must be able to find a new solution in a dynamic way. In this paper, we present the modeling of a traffic lights’ control system using a multivalent system. This is a large-scale distributed system, consisting of autonomous and rational traffic light agents, in which there is no centre imposing an outcome. Multiagent system brings another k
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Silva, Felipe Leno Da, and Anna Helena Reali Costa. "A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems." Journal of Artificial Intelligence Research 64 (March 11, 2019): 645–703. http://dx.doi.org/10.1613/jair.1.11396.

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 Multiagent Reinforcement Learning (RL) solves complex tasks that require coordination with other agents through autonomous exploration of the environment. However, learning a complex task from scratch is impractical due to the huge sample complexity of RL algorithms. For this reason, reusing knowledge that can come from previous experience or other agents is indispensable to scale up multiagent RL algorithms. This survey provides a unifying view of the literature on knowledge reuse in multiagent RL. We define a taxonomy of solutions for the general knowledge reuse problem,
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Sonenberg, Liz, Peter Stone, Kagan Tumer, and Pinar Yolum. "Ten Years of AAMAS: Introduction to the Special Issue." AI Magazine 33, no. 3 (2012): 11. http://dx.doi.org/10.1609/aimag.v33i3.2423.

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Mackin, Kenneth James. "Autonomous Learning of Agent Communication and Group Behavior in Intelligent Multiagent Systems." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 15, no. 2 (2003): 187. http://dx.doi.org/10.3156/jsoft.15.187_2.

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Panella, Alessandro. "Multiagent Stochastic Planning With Bayesian Policy Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 1672–73. http://dx.doi.org/10.1609/aaai.v27i1.8506.

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When operating in stochastic, partially observable, multiagent settings, it is crucial to accurately predict the actions of other agents. In my thesis work, I propose methodologies for learning the policy of external agents from their observed behavior, in the form of finite state controllers. To perform this task, I adopt Bayesian learning algorithms based on nonparametric prior distributions, that provide the flexibility required to infer models of unknown complexity. These methods are to be embedded in decision making frameworks for autonomous planning in partially observable multiagent sys
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Satybaldiyeva, A., A. Ismailova, R. Moldasheva, A. Mukhanova, and K. Kadirkulov. "ABSTRACT DATA TYPES FOR KNOWLEDGE REPRESENTATION AND SPECIFICATION OF MULTI-AGENT SYSTEMS." PHYSICO-MATHEMATICAL SERIES 2, no. 336 (2021): 48–55. http://dx.doi.org/10.32014/2021.2518-1726.20.

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Distributed system is a group of decentralized interacting executers. Distributed algorithm is the communication protocol for a distributed system that transforms the group into a team to solve some task. Multiagent system is a distributed system that consists of autonomous reactive agents, i.e. executers which internal states can be characterized in terms Believes (B), Desires (D), and Intentions (I). Multiagent algorithm is a distributed algorithm for a multiagent system. The article discusses the basic concepts of agents and multi-agent systems. Also, two problems of multi-agent algorithms
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Dissertations / Theses on the topic "Autonomous agents and multiagent systems"

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Hurt, David. "An Empirical Evaluation of Communication and Coordination Effectiveness in Autonomous Reactive Multiagent Systems." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4770/.

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This thesis describes experiments designed to measure the effect of collaborative communication on task performance of a multiagent system. A discrete event simulation was developed to model a multi-agent system completing a task to find and collect food resources, with the ability to substitute various communication and coordination methods. Experiments were conducted to find the effects of the various communication methods on completion of the task to find and harvest the food resources. Results show that communication decreases the time required to complete the task. However, all commun
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Oyenan, Walamitien Hervé. "An algebraic framework for compositional design of autonomous and adaptive multiagent systems." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/3869.

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Doctor of Philosophy<br>Department of Computing and Information Sciences<br>Scott A. DeLoach<br>Organization-based Multiagent Systems (OMAS) have been viewed as an effective paradigm for addressing the design challenges posed by today’s complex systems. In those systems, the organizational perspective is the main abstraction, which provides a clear separation between agents and systems, allowing a reduction in the complexity of the overall system. To ease the development of OMAS, several methodologies have been proposed. Unfortunately, those methodologies typically require the designer to hand
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Davis, Cledo L. "The systems integration of autonomous behavior analysis to create a "Maritime Smart Environment" for the enhancement of maritime domain awareness." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Jun/10Jun%5FDavis.pdf.

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Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, June 2010.<br>Thesis Advisor(s): Goshorn, Rachel ; Goshorn, Deborah. "June 2010." Description based on title screen as viewed on June 24, 2010. Author(s) subject terms: Anomaly Detection, Artificial Intelligence, Automation, Behavior Analysis, Distributed Artificial Intelligence, Intelligence-Surveillance-Reconnaissance, Maritime Domain Awareness, Maritime Force Protection, Multi-agent Systems, Network-centric Operations, Network-centric Systems Engineering, Network-centric Warfare, Smart Sensor Networks, Systems Engineering, Sys
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Seppecher, Pascal. "Modélisation multi-agents d'une économie monétaire de production : un système dynamique et complexe d'interactions réelles et monétaires entre des agents multiples, hétérogènes, autonomes et concurrents." Phd thesis, Université de Nice Sophia-Antipolis, 2011. http://tel.archives-ouvertes.fr/tel-00693151.

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Nous présentons un modèle numérique d'économie de marché décentralisée, fonctionnant hors de l'équilibre, composée de deux grands groupes d'agents (entreprises et ménages) auxquels sont respectivement associées deux fonctions économiques principales (production et consommation). Ces fonctions s'exercent dans le respect des règles des économies capitalistes (propriété privée des moyens de production, échanges monétaires, salariat). Les agents sont des individus en interaction directe et indirecte (et non des agents représentatifs ou des agrégats), chacun poursuivant son propre but, agissant en
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Seelam, Aruntej. "REORGANIZATION OF MASSIVE MULTIAGENT SYSTEMS: MOTL/O." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1966550041&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Oyenan, Walamitien Hervé. "An algebraic framework for compositional design of autonomous and adaptive multiagent systems." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/3869.

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Jarne, Ornia Daniel. "Ant Colony Algorithms andits applications to Autonomous Agents Systems." Thesis, KTH, Optimeringslära och systemteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217391.

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With the latest advancements in autonomous agents systems and technology, there is a growing interest in developing control algorithms and methods to coordinate large numbers of robotic entities. Following this line of work, the use of biologically inspired algorithms based on swarm emerging behaviour presents some really interesting properties for controlling multiple agents. They rely on very simple instructions and communications to develop a coordinated structure in the system. Particularly, this master thesis focuses on the study of Ant Colony algorithms based on stigmergy interaction to
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AL-Buraiki, Omar S. M. "Specialized Agents Task Allocation in Autonomous Multi-Robot Systems." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41504.

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With the promise to shape the future of industry, multi-agent robotic technologies have the potential to change many aspects of daily life. Over the coming decade, they are expected to impact transportation systems, military applications such as reconnaissance and surveillance, search-and-rescue operations, or space missions, as well as provide support to emergency first responders. Motivated by the latest developments in the field of robotics, this thesis contributes to the evolution of the future generation of multi-agent robotic systems as they become smarter, more accurate, and diversifi
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Hess, Traci J. "A Study of Autonomous Agents in Decision Support Systems." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/11277.

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Software agents have been heralded as the most important emerging technology of the decade. As software development firms eagerly attempt to integrate these autonomous programs into their products, researchers attempt to define the concept of agency and to develop architectures that will improve agent capabilities. Decision Support System (DSS) researchers have been eager to integrate agents into their applications, and exploratory works in which agents have been used within a DSS have been documented. This dissertation attempts to further this exploration by studying the agent features and
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Khan, Majid Ali. "Coalition formation and teamwork in embodied agents." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2711.

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Embodied agents are agents acting in the physical world, such as persons, robots, unmanned air or ground vehicles and so on. These types of agents are subject to spatio-temporal constraints, which do not exist for agents acting in a virtual environment. The movement of embodied agents is limited by obstacles and maximum velocity, while their communication is limited by the transmission range of their wireless devices. This dissertation presents contributions to the techniques of coalition formation and teamwork coordination for embodied agents. We considered embodied agents in three different
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Books on the topic "Autonomous agents and multiagent systems"

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Osman, Nardine, and Carles Sierra, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46840-2.

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Sukthankar, Gita, and Juan A. Rodriguez-Aguilar, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71679-4.

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Sukthankar, Gita, and Juan A. Rodriguez-Aguilar, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71682-4.

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Osman, Nardine, and Carles Sierra, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2.

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Schuldt, Arne. Multiagent Coordination Enabling Autonomous Logistics. Springer-Verlag Berlin Heidelberg, 2011.

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Melo, Francisco S., and Fei Fang, eds. Autonomous Agents and Multiagent Systems. Best and Visionary Papers. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20179-0.

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Amigoni, Francesco, and Arunesh Sinha, eds. Autonomous Agents and Multiagent Systems. Best and Visionary Papers. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56255-6.

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(Italy), International Joint Conference on Autonomous Agents and Multiagent Systems (1st 2002 Bologna. Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems: July 15-19, 2002, Plazzo re Enzo, Bologna, Italy. ACM Press, 2002.

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International Joint Conference on Autonomous Agents and Multiagent Systems (2nd 2003 Melbourne, Australia). AAMAS03: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent System : July 14-18, 2003, Melbourne, Australia. Edited by Rosenschein Jeffrey S and SIGART. ACM Press, 2003.

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1952-, Conte Rosaria, Dellarocas Chrysanthos 1967-, and Workshop on Norms and Institutions in Multi-Agent Systems (1st : 2000 : Barcelona, Spain), eds. Social order in multiagent systems. Kluwer Academic Publishers, 2001.

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Book chapters on the topic "Autonomous agents and multiagent systems"

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Rafique, Umair, and Shell Ying Huang. "Preference Generation for Autonomous Agents." In Multiagent System Technologies. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16178-0_17.

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Baldeón, J., M. Lopez-Sanchez, I. Rodríguez, and A. Puig. "Gamification of Multi-agent Systems Theory Classes." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46840-2_11.

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Luo, Jieting, John-Jules Meyer, and Max Knobbout. "Reasoning About Opportunistic Propensity in Multi-agent Systems." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71682-4_13.

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Durfee, Edmund H., and Satinder Singh. "On the Trustworthy Fulfillment of Commitments." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2_1.

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Ikeda, Keisuke, Takeshi Sakaki, Fujio Toriumi, and Satoshi Kurihara. "An Examination of a Novel Information Diffusion Model: Considering of Twitter User and Twitter System Features." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2_11.

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Crawford, Chad, Zenefa Rahaman, and Sandip Sen. "Evaluating the Efficiency of Robust Team Formation Algorithms." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2_2.

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Christodoulou, George, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Paul W. Goldberg, Jie Zhang, and Jinshan Zhang. "Social Welfare in One-Sided Matching Mechanisms." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2_3.

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Amigoni, Francesco, Andrea Castelletti, Paolo Gazzotti, Matteo Giuliani, and Emanuele Mason. "Using Multiagent Negotiation to Model Water Resources Systems Operations." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2_4.

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Oldham, Matthew. "To Big Wing, or Not to Big Wing, Now an Answer." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2_5.

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Winikoff, Michael. "How Testable Are BDI Agents? An Analysis of Branch Coverage." In Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2_6.

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Conference papers on the topic "Autonomous agents and multiagent systems"

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Marza, Pierre, Laetitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, and Devendra S. Chaplot. "AutoNeRF: Training Implicit Scene Representations with Autonomous Agents." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802101.

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Zheng, Shuaipeng, Hui Ma, Guangdeng Chen, Qi Zhou, and Hongyi Li. "Practically Predefined-Time Adaptive Consensus Control for Nonlinear Multiagent Systems." In 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS). IEEE, 2025. https://doi.org/10.1109/icaisisas64483.2025.11052103.

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Montes, Nieves. "Engineering Socially-Oriented Autonomous Agents and Multiagent Systems." 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.2022/833.

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The emergent field of social AI is concerned with the development of autonomous agents that are able to act as part of larger community. Within this context, my research seeks to engineer meaningful social interactions among a group of agents from two different approaches. First, the societal level leverages constructs that apply to a society as a whole, like norms and social values. Second, the individual level endows agents with the ability to reason about others, by making use of Theory of Mind capabilities.
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"Session details: Posters." In AAMAS03: Second International Conference on Autonomous Agents and Multiagent Systems. ACM, 2003. http://dx.doi.org/10.1145/3249227.

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Castro, Lucas Fernando Souza de, André Pinz Borges, and Gleifer Vaz Alves. "Developing a smart parking solution based on a Holonic Multiagent System using JaCaMo Framework." In Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Sociedade Brasileira de Computação, 2018. https://doi.org/10.5753/wesaac.2018.33270.

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A smart city is described as an intelligent city composed of technological services to improve the human life in a way to make it easier and practical. One of the most costly things to optimize in a smart city is the traffic, particularly, the process of looking for a parking space. Therefore, some computer solutions have been developed to provide a parking space an autonomous way in a smart city, and one of them is using Multiagent System (MAS). This paper proposes a Holonic Multiagent System (HMAS) to assign and manage parking spaces in a smart parking system called Holonic Multiagent Parkin
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Donâncio, Henrique, Arthur Casals, and Anarosa A. F. Brandão. "Exposing agents as web services: a case study using JADE and SPADE." In Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Sociedade Brasileira de Computação, 2019. https://doi.org/10.5753/wesaac.2019.33346.

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Agents are autonomous software components that can be combined into multiagent systems (MAS). They possess capabilities related to distributed systems. For this reason, agents have been studied along with web services and Web technologies in Service-Oriented Architectures (SOA). With the advent of new Web-related paradigms, the need of reviewing existing work in this area arises. In this paper we briefly review some of the existing work relating agents and web services. For this purpose, we perform a comparison between two existing multiagent platforms (JADE and SPADE) considering their abilit
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Singh, Amika M., and Munindar P. Singh. "Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/33.

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The power of norms in both human societies and sociotechnical systems arises from the facts that (1) societal norms, including laws and policies, characterize acceptable behavior in high-level terms and (2) they are not hard controls and can be deviated from. Thus, the design of responsibly autonomous agents faces an essential tension: these agents must both (1) respect applicable norms and (2) deviate from those norms when blindly following them may lead to diminished outcomes. We propose a conceptual foundation for norm deviation. As a guiding framework, we adopt Habermas's theory of communi
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Batista Júnior, Antonio De Abreu, and Luciano Reis Coutinho. "A Multiagent System for Urban Traffic Control." In Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Sociedade Brasileira de Computação, 2013. https://doi.org/10.5753/wesaac.2013.33168.

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In this paper we propose a multiagent system (MAS) – designed as a social organization – to operate in the control of successive signals along a section of an avenue that combines green wave and adaptive control in a dynamic way. The members of this organization represent traffic agents that communicate among themselve via a specific purpose interaction protocol. On the one hand, the coordination of successive signals is achieved dynamically through standardized communication between organizational roles. On the other hand, the adaptive control is achieved by the independent and autonomous act
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Rana, Omer, and Thomas Rist. "Session details: Demos." In AAMAS05: AAMAS '05 - Fourth International Joint Conference on Autonomous Agents and Multiagent Systems 2005. ACM, 2005. http://dx.doi.org/10.1145/3246194.

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Pechoucek, Michal, Donald Steiner, and Simon Thompson. "Session details: Industrial track: logistics & transport." In AAMAS05: AAMAS '05 - Fourth International Joint Conference on Autonomous Agents and Multiagent Systems 2005. ACM, 2005. http://dx.doi.org/10.1145/3246192.

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Reports on the topic "Autonomous agents and multiagent systems"

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Shen, Wei-Min. Self-Organizing and Autonomous Learning Agents and Systems. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada430491.

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Lohn, Andrew, Anna Knack, Ant Burke, and Krystal Jackson. Autonomous Cyber Defense. Center for Security and Emerging Technology, 2023. http://dx.doi.org/10.51593/2022ca007.

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The current AI-for-cybersecurity paradigm focuses on detection using automated tools, but it has largely neglected holistic autonomous cyber defense systems — ones that can act without human tasking. That is poised to change as tools are proliferating for training reinforcement learning-based AI agents to provide broader autonomous cybersecurity capabilities. The resulting agents are still rudimentary and publications are few, but the current barriers are surmountable and effective agents would be a substantial boon to society.
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Bozzo Hauri, Sebastián. The New Frontier of Civil Liability: Artificial Intelligence, Autonomy, and Consumer Protection. Carver University; Universidad Autónoma de Chile, 2025. https://doi.org/10.32457/bozzo2202599.

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Technological evolution has entered a phase that challenges the very foundations of private law. The emergence of systems based on artificial intelligence (AI)—particularly in their most recent form, so-called AI agents—compels a reassessment of the traditional framework of civil liability, especially in the field of consumer law. The trajectory of AI has followed a path marked by three distinct waves. The first wave was predictive AI, trained on historical data to anticipate future behavior, as seen in recommendation engines and segmentation models. The second wave introduced generative AI—su
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