Relevant bibliographies by topics / Multi-Agent-System

Contents

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

Academic literature on the topic 'Multi-Agent-System'

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

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Journal articles on the topic "Multi-Agent-System"

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Jemal, Hanen, Zied Kechaou, Mounir Ben Ayed, and Adel M. Alimi. "A Multi Agent System for Hospital Organization." International Journal of Machine Learning and Computing 5, no. 1 (February 2015): 51–56. http://dx.doi.org/10.7763/ijmlc.2015.v5.482.

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Myint, Moe Myint. "Useful and Effectiveness of Multi-Agent System." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 671–73. http://dx.doi.org/10.31142/ijtsrd23036.

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Elaggoune, Zakarya, Ramdane Maamri, and Imane Boussebough. "The Multi-Agent System Solutions for Big Multi-sensor Data Management." Journal of Ubiquitous Systems and Pervasive Networks 11, no. 2 (June 10, 2019): 23–29. http://dx.doi.org/10.5383/juspn.11.02.004.

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K., Gandhimathi, Yogarani A., Sr J. Arockia Jaya, and Ponmathi M. "Mathematical Tutorial System (MTS) Using Fuzzy Logic and Multi-Agent System." International Journal of Innovative Research in Engineering & Management 04, no. 02 (March 2017): 610–14. http://dx.doi.org/10.21276/ijirem.2017.4.2.1.

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Lazrag, Mohamed. "A Multi-agent Architecture for an Intelligent Tutoring System." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 997–1000. http://dx.doi.org/10.5373/jardcs/v12sp4/20201572.

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Patel, Rakesh B. "Multi-Agent System: A Recent Trend in Control Engineering." International Journal of Scientific Research 3, no. 7 (June 1, 2012): 180–83. http://dx.doi.org/10.15373/22778179/july2014/57.

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Jang, In-Hun, and Kwee-Bo Sim. "Multi Agent System (MAS) Framework for Home Network Application." Journal of Korean Institute of Intelligent Systems 17, no. 1 (February 25, 2007): 80–85. http://dx.doi.org/10.5391/jkiis.2007.17.1.080.

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Lozano Murciego, Álvaro, Gabriel Villarrubia González, Alberto López Barriuso, Daniel Hernández De La Iglesia, and Jorge Revuelta Herrero. "Multi agent gathering waste system." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 4, no. 4 (December 22, 2015): 9–22. http://dx.doi.org/10.14201/adcaij201544922.

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Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers. Furthermore a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their working days. In order to evaluate and validate the proposed system a practical case study in a real city environment is modeled using open data available and with the purpose of identifying limitations of the system.
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Gawande, Prashant. "AI Multi Agent Shopping System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 10, 2021): 424–25. http://dx.doi.org/10.22214/ijraset.2021.34934.

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The aim of "Ai multi agent Shopping system" helps the user to search products and compare the price of the particular product and shows the least price of the product. Nowadays e-shopping systems use the Internet as its primary medium for transactions. E-shopping has grown in popularity over the years, mainly because people find it easy to buy number of products comfortably from their places. This technology is used to improve the customer’s needs which include faster response time. Agent for e-Shopping creates connectivity on an anytime-anywhere & any basis to provide the specific products required by the customers based on optimization and scalability. When a user search for a particular product the agent search that product on the site which has been given and compare that particular products price and it will show the least price on the right side. The conclusion shows that the system can help customers to save time for Internet shopping.
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Wakulicz-Deja, Alicja, and Małgorzata Przybyła-Kasperek. "Multi-Agent Decision Taking System." Fundamenta Informaticae 101, no. 1-2 (2010): 125–41. http://dx.doi.org/10.3233/fi-2010-280.

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Dissertations / Theses on the topic "Multi-Agent-System"

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Wahlström, Marco, and Jonas Karlsson. "Multi-Agent-System till brädspel." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2388.

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För att ta reda på hur väl en Multi-Agent-Systems-bot kan stå sig mot andra, icke-MAS-bottar, så har vi implementerat en bot till brädspelet Arimaa. Botten är implementerad i C++ och den kan spela mot andra bottar, eller människor, genom Arimaas officiella hemsida. Syftet har varit att skapa en fullfjädrad bot som både klarar av att spela korrekt, och att spela bra. För att ta reda på om MAS är en bra designfilosofi för Arimaa så har vi utmanat ett antal av de bottar som andra människor skapat och lagt upp på hemsidan. Alla bottarna har under tiden de legat uppe blivit rankade genom tävlingar och utmaningar och flera av dessa har tävlat om stora pengar, vilket betyder att människor har lagt mycket tid på dem. Efter ett stort antal matcher mot andra bottar så har vi kommit fram till att Arimaa är ett väldigt svårt spel att koda bottar till. Vi lyckades bara slå några av de sämsta bottarna på hemsidan men MAS visar stor potential och vi tror att man kan göra väldigt avancerade bottar med det. Jämfört med de bästa bottarna så är vår väldigt snabb och minneseffektiv. Man borde absolut experimentera mer.
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Sharma, Naveen, and n/a. "A multi agent system framework for.NET." University of Canberra. Information Sciences & Engineering, 2005. http://erl.canberra.edu.au./public/adt-AUC20060726.153250.

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This thesis presents an approach to modeling Multi Agent Systems (MAS). A framework and its implementation are presented as an extension to .NET. A number of definitions of agents are evaluated for the purpose of a broad understanding of the term software agent. Software agent has been defined in MAS context and its characteristics are identified and implemented. Motivation factors for building framework for MAS have been discussed. A number of existing technologies are discussed and evaluated. A number of agent systems previously developed are also being discussed in the middle part of the thesis. A model software agent has been defined and its characteristics are divided in two basic categories essential and optional. Its implementation has been distributed into different components throughout the MAS framework. Some of these characteristics are jointly implemented by a number of components and others responsibility rest on the individual components. Detail working of the MAS framework (i.e. what to do, when to do) is explained as guide to develop MAS using MAS framework. The protocols followed by the framework components to make communication possible between them are discussed at components level. The required information for developing MAS using MAS framework are also discussed. It answers the why, when and how questions in regards to using MAS framework A case study on Dynamic Truck Scheduling (DTS) system is discussed, designed and implemented using the MAS framework. DTS System has been used as a prototype application to test and evaluate the framework. DTS also represents a model problem that can be answered by using MAS; complete in-depth details about the problem statement are discussed. It also discusses the design and implementation of the solution along with the test results of the framework. Possible future expansion is presented in light of a number of limitations known of the MAS framework. The code working behind the different components of the MAS framework is given in appendices. Some important standards of XML that are used to pass information between agents and MAS framework components are also given in the format of tables.
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林衛華 and Wai-wa Lam. "Multi-agent based human immune system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221117.

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Warshawsky, Nimrod 1976. "Extending the Metaglue multi-agent system." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80135.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
Includes bibliographical references (leaf 66).
by Nimrod Warshawsky.
M.Eng.
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Lam, Wai-wa. "Multi-agent based human immune system /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2093337X.

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Åkerström, Otto. "Multi-Agent System for Coordinated Defence." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273582.

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Today defence systems are becoming more complex as technology advances and it is of great importance to explore new ways of solving problems and keep national defence current. In particular, Artificial Intelligence (AI) is used in an increasing number of industries such as logistic solutions, inventory management and defence. This thesis will evaluate the possibility to use Reinforcement Learning (RL) in an Air Defence Coordination(ADC) scenario at Saab AB. To evaluate RL, a simplified ADC-scenario is considered and solved using two different methods, Q-learning and Deep Q-learning (DQL). The results of the two methods are discussed as well as the limitations in scope and complexity for Q-learning. Deep Q-learning, on the other hand shows to be relatively easy to apply to more complicated scenarios. Finally, one last experiment with a far more complex scenario is constructed in order to show the scalability of DQL and create a foundation for future work in this field.
Dagens försvarssystem blir allt mer komplexa när tekniken utvecklas och det blir allt viktigare att utforska nya sätt att lösa problem för att ha ett toppmodernt försvar. I synnerhet används Artificiell intelligens (AI) i ett ökande antal branscher så som logistik, lagerhantering och försvar. Detta arbete kommer att utvärdera möjligheten att använda Förstärkt inlärning (RL) i ett Koordinerat luftförsvar (ADC) scenario hos Saab AB. För att utvärdera RL, löses ett förenklat ADC-scenario med två olika metoder, Q-learning och Deep Q-learning (DQL). Resultatet av de två metoderna diskuteras så väl som begränsningar för Q-learning. Å andra sidan visar sig DQL vara relativt enkelt att tillämpa i ett mer komplext scenario. Slutligen görs ett sista experiment med ett mycket mer komplicerat scenario för att visa skalbarheten för DQL och skapa en naturlig övergång till framtida arbete.
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Colwill, Ian. "Multi agent system platform in programmable logic." Thesis, University of Sussex, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445591.

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Borselius, Niklas. "Multi-agent system security for mobile communications." Thesis, Royal Holloway, University of London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407884.

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Chin, Shou-fong. "Multi-agent as a decision support system." Thesis, Imperial College London, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287526.

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Ramachandran, Thiagarajan. "Algorithmically induced architectures for multi-agent system." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55019.

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The objective of this thesis is to understand the interactions between the computational mechanisms, described by algorithms and software, and the physical world, described by differential equations, in the context of networked systems. Such systems can be denoted as cyber-physical nodes connected over a network. In this work, the power grid is used as a guiding example and a rich source of problems which can be generalized to networked cyber-physical systems. We address specific problems that arise in cyber-physical networks due to the presence of a computational network and a physical network as well as provide directions for future research.
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Books on the topic "Multi-Agent-System"

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Garijo, Francisco J., and Magnus Boman, eds. Multi-Agent System Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x.

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Schumacher, Michael. Objective Coordination in Multi-Agent System Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44933-7.

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Ning, Zhao. Multi-agent system in electronic share trading. Oxford: Oxford Brookes University, 2002.

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Patel, Keyurkumar, and Axaykumar Mehta. Discrete-Time Sliding Mode Protocols for Discrete Multi-Agent System. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6311-9.

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Raman, Paranjape, and Sadanand Asha, eds. Multi-agent systems for healthcare simulation and modeling: Applications for system improvement. Hershey PA: Medical Information Science Reference, 2010.

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Raman, Paranjape, and Sadanand Asha, eds. Multi-agent systems for healthcare simulation and modeling: Applications for system improvement. Hershey, PA: Medical Information Science Reference, 2010.

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European, Workshop on Modelling Autonomous Agents in a. Multi-Agent World (9th 1999 Valencia Spain). Multi-agent system engineering: 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'99, bValencia, Spain, June/July, 1999 : proceedings. Berlin: Springer, 1999.

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Roddy, Kimberly A. Modeling human and organizational behavior using a relation-centric multi-agent system design paradigm. Monterey, Calif: Naval Postgraduate School, 2000.

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Murav'ev, Dmitriy, Aleksandr Rahmangulov, Nikita Osincev, Sergey Kornilov, and Aleksandr Cyganov. The system "seaport - "dry" port". ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1816639.

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The monograph presents an approach to solving the problem of increasing the throughput and processing capacity of seaports in conditions of limiting their territorial dislocation and increasing the unevenness of external and internal cargo flows. The basis of the approach is the proposed system of the main parameters of the dry port and the methodology of simulation modeling of the functioning of the system "seaport - dry port". The material is illustrated with examples of the implementation of the developed approach, including model scenarios of multi-agent optimization of the parameters of the system under study. The proposed approach and the developed methodology can be used to justify management decisions on the balanced development of transport and logistics infrastructure of the regions hosting sea and dry ports. It is intended for specialists of transport and logistics companies, engineering and technical workers engaged in solving problems in the field of logistics, supply chain management and transport infrastructure design. In addition, it is recommended to students in the following programs: postgraduate studies 23.06.01 "Land transport engineering and technology" (focus "Transport and transport-technological systems of the country, its regions and cities, organization of production in transport") and 27.06.01 "Management in technical systems" (focus "Management of transportation processes"); master's degree 23.04.01 "Technology of transport processes" (profile "Organization of transportation and management in a single transport system"); bachelor's degree 38.03.02 "Management" (profile "Logistics") and 23.03.01 "Technology of transport processes".
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Potiron, Katia. From Fault Classification to Fault Tolerance for Multi-Agent Systems. London: Springer London, 2013.

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Book chapters on the topic "Multi-Agent-System"

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Roy, Radhika Ranjan. "Multi-Agent System." In Networked Artificial Intelligence, 27–34. Boca Raton: Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781003499466-5.

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Amandi, Analía, Alejandro Zunino, and Ramiro Iturregui. "Multi-paradigm Languages Supporting Multi-agent Development." In Multi-Agent System Engineering, 128–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_11.

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Pitt, Jeremy, and Abe Mamdani. "Designing Agent Communication Languages for Multi-agent Systems." In Multi-Agent System Engineering, 102–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_9.

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Barber, K. S., T. H. Liu, and D. C. Han. "Agent-Oriented Design." In Multi-Agent System Engineering, 28–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_3.

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Carron, T., H. Proton, and O. Boissier. "A Temporal Agent Communication Language for Dynamic Multi-agent Systems." In Multi-Agent System Engineering, 115–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_10.

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Jennings, Nicholas R. "Agent-Oriented Software Engineering." In Multi-Agent System Engineering, 1–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_1.

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Schroeder, Michael. "An Efficient Argumentation Framework for Negotiating Autonomous Agents." In Multi-Agent System Engineering, 140–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_12.

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Barbuceanu, Mihai. "Negotiating Service Provisioning." In Multi-Agent System Engineering, 150–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_13.

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Griffiths, Nathan, and Michael Luck. "Cooperative Plan Selection Through Trust." In Multi-Agent System Engineering, 162–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_14.

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David, Nuno, Jaime Simão Sichman, and Helder Coelho. "Extending Social Reasoning to Cope with Multiple Partner Coalitions." In Multi-Agent System Engineering, 175–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_15.

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Conference papers on the topic "Multi-Agent-System"

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Gharbi, Atef, Hamza Gharsellaoui, and Samir Ben Ahmed. "Multi-Agent Control System." In 9th International Conference on Software Engineering and Applications. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005001101170124.

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Wong, Wing Shun, Hamid Aghvami, and Stephen J. Wolak. "Context-Aware Personal Assistant Agent Multi-Agent System." In 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2008. http://dx.doi.org/10.1109/pimrc.2008.4699857.

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Bel-Enguix, Gemma, and M. Dolores Jimenez-Lopez. "Agent-environment interaction in a multi-agent system." In the 2007 GECCO conference companion. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1274000.1274045.

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Tomasek, M. "Architecture of multi-agent system." In 2012 IEEE 10th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2012. http://dx.doi.org/10.1109/iceta.2012.6418299.

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Kosakaya, Juichi. "Multi-agent-based SCADA system." In 2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE, 2016. http://dx.doi.org/10.1109/ebccsp.2016.7605270.

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Moutaouakkil, F., M. Radoui, and H. Medromi. "Developing multi-agent system robotics." In 2011 International Conference on Communications, Computing and Control Applications (CCCA). IEEE, 2011. http://dx.doi.org/10.1109/ccca.2011.6031428.

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GHARBI, Atef, and Samir BEN AHMED. "Fuzzy-Logic Multi-Agent System." In Fourth International Conference on Advances in Computing and Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2014. http://dx.doi.org/10.5121/csit.2014.4528.

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Priya, A., and V. Vasudevan. "Smart teachable multi agent system." In INTERNATIONAL CONFERENCE ON INNOVATIONS IN ROBOTICS, INTELLIGENT AUTOMATION AND CONTROL. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0176035.

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Halinka, A., P. Rzepka, and M. Szablicki. "Agent model of multi-agent system for area power system protection." In 2015 Modern Electric Power Systems (MEPS). IEEE, 2015. http://dx.doi.org/10.1109/meps.2015.7477185.

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Duan, Junhua, Yi-an Zhu, and Shujuan Huang. "Stigmergy agent and swarm-intelligence-based multi-agent system." In 2012 10th World Congress on Intelligent Control and Automation (WCICA 2012). IEEE, 2012. http://dx.doi.org/10.1109/wcica.2012.6357972.

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Reports on the topic "Multi-Agent-System"

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Carpenter, Tamitha. Multi-Agent System for Resource Reliability. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada371796.

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Kaplan, David J. The STAR System: A Unified Multi-Agent Simulation Model of Structure, Task, Agent, and Resource. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada519430.

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Cingiser DiPippo, Lisa, Victor Fay-Wolfe, Lekshmi Nair, Ethan Hodys, and Oleg Uvarov. A Real-Time Multi-Agent System Architecture for E-Commerce Applications. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada477877.

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Podhradský, Michal. A Multi-Agent System for Adaptive Control of a Flapping-Wing Micro Air Vehicle. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3282.

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Barber, K. S. Multi-Scale Behavioral Modeling and Analysis Promoting a Fundamental Understanding of Agent-Based System Design and Operation. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada465613.

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van der Mensbrugghe, Dominique. The Standard GTAP Model in GAMS, Version 7.1. GTAP Working Paper, April 2023. http://dx.doi.org/10.21642/gtap.wp92.

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The purpose of this document is to describe a version of the Global Trade Analysis Project (GTAP) computable general equilibrium (CGE) model implemented in the General Algebraic Modeling System (GAMS) that is a literal implementation of the standard General Economic Modeling Package (GEMPACK) version. It updates and supersedes the model description provided in van der Mensbrugghe (2018), which remains the main reference. The key revision of the new version is that the model is calibrated to initially normalized variables, similar to Rutherford’s GTAPinGams model (Lanz and Rutherford (2016)). One objective is to improve model scaling and hopefully numerical convergence. One advantage is that it is relatively easy to view the results in percentage change form, similar to the GEMPACK version of the model. The new version includes three additional extensions: national-level Armington preferences for domestic vs. imports, agent-level sourcing by region of origin (a variant of the multi-region input-output model (MRIO)), and rent-generating ad valorem equivalent (AVE) of non-tariff measures (NTMs).
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McKinnon, Mark, Sean DeCrane, and Steve Kerber. Four Firefighters Injured in Lithium-Ion Battery Energy Storage System Explosion -- Arizona. UL Firefighter Safety Research Institute, July 2020. http://dx.doi.org/10.54206/102376/tehs4612.

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On April 19, 2019, one male career Fire Captain, one male career Fire Engineer, and two male career Firefighters received serious injuries as a result of cascading thermal runaway within a 2.16 MWh lithium-ion battery energy storage system (ESS) that led to a deflagration event. The smoke detector in the ESS signaled an alarm condition at approximately 16:55 hours and discharged a total flooding clean agent suppressant (Novec 1230). The injured firefighters were members of a hazardous materials (HAZMAT) team that arrived on the scene at approximately 18:28 hours. The HAZMAT team noted low-lying white clouds of a gas/vapor mixture issuing from the structure and nearby components and drifting through the desert. The team defined a hot zone and made several entries into the hot zone to conduct 360-degree size-ups around the ESS using multi-gas meters, colorimetric tubes, and thermal imaging cameras (TICs). The team detected dangerously elevated levels of hydrogen cyanide (HCN) and carbon monoxide (CO) during each entry. The team continued to monitor the ESS and noted the white gas/vapor mixture stopped flowing out of the container at approximately 19:50 hours. The HAZMAT leadership developed an incident action plan with input from a group of senior fire officers and information about the ESS provided by representatives from the companies that owned, designed, and maintained the ESS. The HAZMAT team made a final entry into the hot zone and found that HCN and CO concentrations in the vicinity of the ESS were below an acceptable threshold. In following with the incident action plan, the team opened the door to the ESS at approximately 20:01 hours. A deflagration event was observed by the firefighters outside the hot zone at approximately 20:04 hours. All HAZMAT team members received serious injuries in the deflagration and were quickly transported to nearby hospitals. Note: The lithium-ion battery ESS involved in this incident was commissioned prior to release of a first draft of the current consensus standard on ESS installations, NFPA 855 [1]; the design of the ESS complied with the pertinent codes and standards active at the time of its commissioning.
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