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Published: 7 July 2024

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1

MABS 2004 (2004 New York, N.Y.). Multi-agent and multi-agent-based simulation: Joint workshop MABS 2004, New York, NY, USA, July 19, 2004 : revised selected papers. Berlin: Springer, 2005.

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2

International Conference on Industrial Applications of Holonic and Multi-Agent Systems (1st 2003 Prague, Czech Republic). Holonic and multi-agent systems for manufacturing: First International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2003, Prague, Czech Republic, September 1-3, 2003 : proceedings. Berlin: Springer, 2003.

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3

Brender, Anton. L' après-dollar: Analyse et simulation du système multi-devises. Paris: Economica, 1986.

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4

Iordache, Octavian. Modeling Multi-Level Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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5

Karama, Moussa. Coupled problems and multi-physics. Durnten-Zurich: Trans Tech Publications, 2011.

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6

International Conference on Industrial Applications of Holonic and Multi-Agent Systems (2nd 2005 Copenhagen, Denmark). Holonic and multi-agent systems for manufacturing: Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005 : proceedings. Berlin: Springer, 2005.

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7

Bris, Claude. Systèmes multi-échelles: Modélisation et simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005.

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8

Mouakket, S. The systems analyst as political agent: An empirical study of user requirements determination. Sheffield: University of Sheffield Management School, 1993.

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9

Netherlands) EUMAS 2011 (2011 Maastricht. Multi-agent systems: 9th European workshop, EUMAS 2011, Maastricht, the Netherlands, November 14-15, 2011 : revised selected papers. Berlin: Springer, 2012.

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10

Brodeckiy, Gennadiy, Denis Gusev, and Ivan Shidlovskiy. Multi-criteria choice in logistics research. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1902741.

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Methods and models of optimization of solutions under many criteria are considered, which are conditioned by modern tasks to improve the operation of supply chains and logistics systems. Attention is paid to their specifics in relation to the tasks of organizing transport supply support. The anomalous phenomena of "blindness" to the indicators of individual particular criteria and the phenomena of "blocking" the choice of alternatives when optimizing such systems are analyzed. Special modifications of traditional selection criteria for optimization are presented, allowing to eliminate these phenomena in order to more effectively adapt the selected best solution to the preferences of the decision-maker. The analysis of filtering possibilities of the initially specified alternatives is given so that optimization procedures can be implemented in real time. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of institutions of higher education. It can be useful for graduate students, logisticians and entrepreneurs who want to organize their business more efficiently.
11

Villatoro, Daniel. Multi-Agent-Based Simulation XII: International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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12

Lagnese, J. Modelling, analysis, and control of dynamic elastic multi-link structures. Boston: Birkhäuser, 1994.

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13

Song, Han, and United States. National Aeronautics and Space Administration., eds. Multi-disciplinary system reliability analysis: Final report : grant no. NAG3-1372. [Washington, DC: National Aeronautics and Space Administration, 1997.

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14

Song, Han, and United States. National Aeronautics and Space Administration., eds. Multi-disciplinary system reliability analysis: Final report : grant no. NAG3-1372. [Washington, DC: National Aeronautics and Space Administration, 1997.

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15

Sung, Han, and United States. National Aeronautics and Space Administration., eds. Multi-disciplinary system reliability analysis: Final report : grant no. NAG3-1372. [Washington, DC: National Aeronautics and Space Administration, 1997.

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16

Dieleman, P. Study on efficient numerical time-integration methods for simulation of multi-body systems. Amsterdam: National Aerospace Laboratory, 1990.

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17

Center, Langley Research, ed. Multi-color incomplete Cholesky conjugate gradient methods for vector computers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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18

Orlova, Ekaterina. Econometric methodology of systems research. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1096421.

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The textbook presents the methodology of a comprehensive econometric approach to the analysis, modeling and forecasting of multi-level economic systems, which includes the construction and analysis of econometric models, the study of the possibility of their practical application to identify and justify economic patterns, forecasting the consequences of management decisions. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for bachelors, undergraduates and postgraduates of economic fields. It will also be useful for anyone who is engaged in data processing based on econometric methods and computer technologies.
19

S, Rao S. Applications of fuzzy theories to multi-objective system optimization. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1991.

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20

Astrahancevaa, Irina, Sergey Bobkov, Vadim Mizonov, and Sergey Boykov. Modeling of systems. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1831624.

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The textbook discusses general issues of system modeling, analytical, empirical and simulation approaches to modeling. Typical mathematical schemes used in the analytical approach, methods and tools of simulation modeling of systems are given. Attention is also paid to network and agent-based alternative approaches to modeling. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for undergraduate students studying in the direction of 09.03.02 "Information systems and technologies", whose working curricula include the discipline "Systems Modeling". It is assumed that the training plans also include training courses "Discrete Mathematics", "Mathematical logic and theory of algorithms", "System analysis". The manual will also be useful for master's degree students studying in the direction 09.04.02 "Information systems and technologies" (discipline "Models of information processes and systems").
21

Linden, Jan van der. QUALIFLEX version 2.3: A software package for multi-criteria analysis. Dordrecht: Kluwer Academic Publishers, 1995.

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22

Wiegand, Thomas. Multi-frame motion-compensated prediction for video transmission. Boston: Kluwer Academic Publishers, 2001.

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23

Sombattheera, Chattrakul. Multi-disciplinary Trends in Artificial Intelligence: 5th International Workshop, MIWAI 2011, Hyderabad, India, December 7-9, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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24

Neubert, Albrecht. Translation as text. Kent, Ohio: Kent State University Press, 1992.

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25

Conference on Multi-scale and High-contrast PDE: from Modelling, to Mathematical Analysis, to Inversion (2011 Oxford, England). Multi-scale and high-contrast PDE: From modelling, to mathematical analysis, to inversion : Conference on Multi-scale and High-contrast PDE:from Modelling, to Mathematical Analysis, to Inversion, June 28-July 1, 2011, University of Oxford, United Kingdom. Edited by Ammari Habib, Capdeboscq Yves 1971-, and Kang Hyeonbae. Providence, R.I: American Mathematical Society, 2010.

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26

Chursin, Aleksandr, and Milana Abueva. Innovation management. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1862682.

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The textbook is a comprehensive study of the development of the modern theory of innovation management. The fundamentals of the development of the general theory of innovation activity, the regulatory framework defining innovation activity at the present stage are outlined, the process of formation of innovative competencies is considered, the analysis of the main tools of innovation management, including innovative projects, is carried out. The methods of risk assessment in innovation activity are given and the issues of their management are considered. A distinctive feature of the textbook is the systematization and generalization of material in the areas of "Innovation Management", "System analysis", "Project Management" for multi-level analysis of innovation activity. Meets the current requirements of the Federal State Educational Standard of Higher Education. For students, undergraduates, postgraduates, teachers of economic universities and specialists dealing with innovation management.
27

MATES 2005 (2005 Koblenz, Germany). Multiagent system technologies: Third German Conference, MATES 2005, Koblenz, Germany, September 11-13, 2004 : proceedings. Berlin: Springer, 2005.

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28

Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.

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29

Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.

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30

Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.

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31

Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.

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32

Plinere, Darja. Development of a Multi-agent System for Supply Chain Management Efficiency Improvement. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226915.

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The aim of the doctoral thesis is to develop an approach to the multi-agent system development that ensures the improvement of supply chain management efficiency. The developed approach allows creating a multi-agent system that can be used for various supply chain participants, as it reviews main supply chain processes and tasks to be solved. Various inventory management methods were used in the developed multi-agent system: forecasting algorithms, ABC analysis, and inventory replenishment point determination. Production scheduling and rescheduling were also used in the multi-agent system to reduce the total production time.
33

Mohanty, Soumya. Swarm Intelligence Methods for Statistical Regression. Taylor & Francis Group, 2018.

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34

Mohanty, Soumya. Swarm Intelligence Methods for Statistical Regression. Taylor & Francis Group, 2018.

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35

Mohanty, Soumya. Swarm Intelligence Methods for Statistical Regression. Taylor & Francis Group, 2018.

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36

(Editor), Vladimir Marik, Robert W. Brennan (Editor), and Michal Pechoucek (Editor), eds. Holonic and Multi-Agent Systems for Manufacturing: Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS ... / Lecture Notes in Artificial Intelligence). Springer, 2005.

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37

Mancarella, Pierluigi. Distributed Multi-Generation Systems: Energy Models and Analyses. Nova Science Publishers, Incorporated, 2009.

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38

Iordache, Octavian. Modeling Multi-Level Systems. Springer, 2014.

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39

Karama, Moussa. Coupled Problems and Multi-Physics. Trans Tech Publications, Limited, 2011.

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40

Enserink, B., P. Bots, E. van Daalen, L. Hermans, J. Koppenjan, R. Kortmann, J. Kwakkel, J. Slinger, T. Ruijgh van der Ploeg, and W. Thissen. Policy Analysis of Multi-Actor Systems. TU Delft Open, 2022. http://dx.doi.org/10.5074/t.2022.004.

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Policy of Multi-Actor Systems is an introduction into the art of craft of problem exploration and problem structuring. It positions policy analysis as a scientific discipline focused on systems analysis in a multi-actor context to support better informed decision-making. The approach presented in this book is considered to be the cornerstone of the curricula of the Faculty of Technology, Policy and Management of Delft University of Technology and underlies the research on (the governance of) socio-technical systems. Systems thinking applied in a multi-actor environment and its inherent multi-disciplinary character is what makes this work stand out from traditional hard- and soft systems approaches. The core of the book is dedicated to systems analysis, actor- or stakeholder-analysis and discusses methods for dealing with uncertainty. These analytical activities combined lead to a rich problem description and to plans for further research. Due to the stepwise approach this book serves as a basis for any problem analysis both for our bachelor and master students, our alumni worldwide and any interested practitioners.
41

Jayswal, Anurag, Preeti, and Savin Treanţӑ. Multi-Dimensional Control Optimization Problems. Springer, 2022.

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42

Amoliņa, Iveta. Management System of Multi-Apartment Residential Buildings in the Context of Sustainable Conservation. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227417.

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The aim of the research is to develop an integrated information-analytical systems approach methodology of the multi-apartment residential building management process for the purposeful implementation of residential building management services and sustainable maintenance of housing. The first part of the Doctoral Thesis analyses the theoretical aspects and the legal environment of multi-apartment residential building management. In the second part, the author of the Doctoral Thesis performs the research and analysis of the multi-apartment residential building management system and the influencing theoretical factors. The third part evaluates the decision-making methods used in multi-apartment residential building management. The fourth part reflects the developed information-analytical management method and management systems approach to the management of multi-apartment residential buildings and the application of its operation. At the end of the Doctoral Thesis, the author provides conclusions and proposals for the improvement of the multi-apartment residential building management system and processes in order to ensure the implementation of the principles of good governance and sustainable preservation of property.
43

Thorlakson, Lori. Multi-Level Democracy. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198833505.001.0001.

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All federal systems face an internal tension between divisive and integrative political forces, striking a balance between providing local autonomy and representation on one hand and maintaining an integrated political community on the other hand. How multi-level systems strike this balance depends on the development of styles of either integrated politics, which creates a shared framework for political competition across the units of a federation, or independent politics, preserving highly autonomous arenas of political life. This book argues that the long-term development of integrated or independent styles of politics in multi-level systems can be shaped by two key elements of federal institutional design: the degree of fiscal decentralization, or how much is ‘at stake’ at each level of government, and the degree to which the allocation of policy jurisdiction creates legislative or administrative interdependence or autonomy. These elements of federal institutional design shape integrated and independent politics at the level of party organizations, party systems, and voter behaviour. This book tests these arguments using a mixed-method approach, drawing on original survey data from 250 subnational party leaders and aggregate electoral data from over 2,200 subnational elections in seven multi-level systems: Canada, the United States, Australia, Austria, Germany, Switzerland, and Spain. It supplements this with configurational analysis and qualitative case studies.
44

Bris, Claude Le. Systèmes multi-èchelles: Modélisation et simulation (Mathématiques et Applications). Springer, 2005.

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45

de Marchi, Scott, and Scott E. Page. Agent‐Based Modeling. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0004.

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This article provides a discussion on agent-based modeling. Two examples that show the ability of computational methods to extend game-theoretic results are presented. It then discusses modeling agents, modeling agent interactions, and system behaviour. In addition, it describes how agent-based models differ from and complement mathematical models and concludes with some suggestions for how one might best leverage the strengths of agent-based models to advance political science. Most mathematical analyses of game-theoretic models do not look into the stability and attainability of their equilibria and would be made richer by complementing them with agent-based models that explored those properties. The ability of computational models to test the robustness of formal results would be reason alone to add them to tool kits. As a methodology, agent-based modeling should be considered as in its infancy, its enormous potential limited only by the scientific and creative talents of its practitioners.
46

Banos, Arnaud, Christophe Lang, and Nicolas Marilleau. Agent-Based Spatial Simulation with NetLogo Volume 1. ISTE Press Limited - Elsevier Incorporated, 2015.

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47

Banos, Arnaud, Christophe Lang, and Nicolas Marilleau. Agent-Based Spatial Simulation with NetLogo Volume 1. Elsevier, 2015.

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48

Dynamic remapping decisions in multi-phase parallel computations. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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49

Deformation and life analysis of composite flywheel disk and multi-disk systems. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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50

Villatoro, Daniel, Jaime Simao Sichman, and Jordi Sabater-Mir. Multi-Agent-Based Simulation XII: International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Springer, 2012.

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