Bibliografie tematiche / Agent-based modeling

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Letteratura scientifica selezionata sul tema "Agent-based modeling"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Agent-based modeling"

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Johnson, Paul E. "Agent-Based Modeling." Social Science Computer Review 20, no. 2 (2002): 174–86. http://dx.doi.org/10.1177/089443930202000207.

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Nicholls, Sarah, Bas Amelung, and Jillian Student. "Agent-Based Modeling." Journal of Travel Research 56, no. 1 (2016): 3–15. http://dx.doi.org/10.1177/0047287515620490.

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Abstract (sommario):
Agent-based modeling (ABM) is a way of representing complex systems of autonomous agents or actors, and of simulating the multiple potential outcomes of these agents’ behaviors and interactions in the form of a range of alternatives or futures. Despite the complexity of the tourism system, and the power and flexibility of ABM to overcome the assumptions such as homogeneity, linearity, equilibrium, and rationality typical of traditional modeling techniques, ABM has received little attention from tourism researchers and practitioners. The purpose of this paper is to introduce ABM to a wider tour
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Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-Based Modeling." Social Psychological and Personality Science 8, no. 4 (2017): 387–95. http://dx.doi.org/10.1177/1948550617691100.

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Agent-based modeling is a long-standing but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to precisely specify the behavior of any number of agents and observe their interactions over time. ABMs are especially useful when investigating group behavior or evolutionary processes and can uniquely reveal nonlinear dynamics and emergence—the process whereby local interactions aggregate into often-surprising collective phenomena such
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Castiglione, Filippo. "Agent based modeling." Scholarpedia 1, no. 10 (2006): 1562. http://dx.doi.org/10.4249/scholarpedia.1562.

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McLean, Allen, Wade McDonald, Donna Goodridge, and Nathaniel Osgood. "Agent-Based Modeling." Nursing Research 68, no. 6 (2019): 473–82. http://dx.doi.org/10.1097/nnr.0000000000000390.

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Akram, Waseem, Muaz A. Niazi, Laszlo Barna Iantovics, and Athanasios V. Vassilakos. "TOWARDS AGENT-BASED MODEL SPECIFICATION OF SMART GRID: A COGNITIVE AGENT-BASED COMPUTING APPROACH." Interdisciplinary Description of Complex Systems 17, no. 3-B (2019): 546–85. https://doi.org/10.7906/indecs.17.3.14.

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A smart grid can be considered as a complex network where each node represents a generation unit or a consumer, whereas links can be used to represent transmission lines. One way to study complex systems is by using the agent-based modeling paradigm. The agent-based modeling is a way of representing a complex system of autonomous agents interacting with each other. Previously, a number of studies have been presented in the smart grid domain making use of the agent-based modeling paradigm. However, to the best of our knowledge, none of these studies have focused on the specification aspect of t
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El-Amine, Samar, Stephane Galland, and Abderraffiaa Koukam. "Agent–based Modeling of Social Behavioral Challenges in Transportation." Journal of Ubiquitous Systems and Pervasive Networks 10, no. 1 (2018): 33–40. http://dx.doi.org/10.5383/juspn.10.01.005.

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Batty, Michael. "Agent-Based Pedestrian Modeling." Environment and Planning B: Planning and Design 28, no. 3 (2001): 321–26. http://dx.doi.org/10.1068/b2803ed.

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Egorov, Andrey V. "EVIDENCE-BASED AGENT MODELING." SOFT MEASUREMENTS AND COMPUTING 2, no. 87 (2025): 13–23. https://doi.org/10.36871/2618-9976.2025.02.002.

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Within the article we present a novel methodology of constructing agentbased models (ABM) on the basis of evidencebased modeling concepts of G.B. Kleiner. We redefine modeling as finding a computable mapping between two essentially mathematical object (enclosing and enclosed ABMs). We then introduce correct models space – a fourdimensional lattice, where the axes correspond to compression, evolution, emergence and convolution operators (defined over various types of sets via close linkage). Within our paradigm moves every move along a given lattice dimension represents adding a corresponding o
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Wellman, Michael P. "Putting the agent in agent-based modeling." Autonomous Agents and Multi-Agent Systems 30, no. 6 (2016): 1175–89. http://dx.doi.org/10.1007/s10458-016-9336-6.

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Tesi sul tema "Agent-based modeling"

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Cao, Sen. "Role-based and agent-oriented teamwork modeling." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2540.

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Teamwork has become increasingly important in many disciplines. To support teamwork in dynamic and complex domains, a teamwork programming language and a teamwork architecture are important for specifying the knowledge of teamwork and for interpreting the knowledge of teamwork and then driving agents to interact with the domains. Psychological studies on teamwork have also shown that team members in an effective team often maintain shared mental models so that they can have mutual expectation on each other. However, existing agent/teamwork programming languages cannot explicitly express the me
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NOYA, RICARDO CHOREN. "A MODELING LANGUAGE FOR AGENT BASED SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5304@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>A tecnologia de agentes tem ganho destaque, tanto na academia quanto na indústria, no que se refere ao desenvolvimento de sistemas distribuídos. Linguagens de modelagem e processos de desenvolvimento foram criados para documentar e formalizar o desenvolvimento de sistemas baseados em agentes. Entretanto, as linguagens de modelagem existentes ou se baseiam em noções de uma tecnologia de desenvolvimento anterior (orientação a objetos) ou não possuem artefatos (modelos) que denotam as características de agência existentes no
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Sapkota, Pratibha. "Modeling Diffusion Using an Agent-Based Approach." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1270659453.

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VALLURUPALLI, VAISHALI. "AGENT BASED MODELING OF A BIO-INVERTER." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172264092.

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Dickie, Alistair James. "Modeling robot swarms using agent-based simulation." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FDickie.pdf.

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Hajhashemi, Elham. "Agent-based Modeling for Recovery Planning after Hurricane Sandy." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85012.

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Hurricane Sandy hit New York City on October 29, 2012 and greatly disrupted transportation systems, power systems, work, and schools. This research used survey data from 397 respondents in the NYC Metropolitan Area to develop an agent-based model for capturing commuter behavior and adaptation after the disruption. Six different recovery scenarios were tested to find which systems are more critical to recover first to promote a faster return to productivity. Important factors in the restoration timelines depends on the normal commuting pattern of people in that area. In the NYC Metropolitan Are
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Zhou, Feng. "Application of agent based modeling to insurance cycles." Thesis, City University London, 2013. http://openaccess.city.ac.uk/12195/.

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Traditional models of analyzing the general insurance market often focus on the behavior of a single insurer in a competitive market. They assume that the major players in this market are homogeneous and have a common goal to achieve a same long-term business objective, such as solving profit (or utility) maximization. Therefore these individual players in the traditional models can be implemented as a single representative economic agent with full rationality to solve the utility optimization. To investigate insurance pricing (or underwriting) cycles, the existing literature attempts to model
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Vuorinen, T. (Tapio). "Simulating project network governance using agent based modeling." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201612023187.

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Abstract (sommario):
Project management literature has previously mainly focused on the technical aspects of project delivery. Less focus has been on the complex inter-connected relations between different organizational and individual actors in project networks. One of the newer approaches to project management research is project network governance. Its aim is to provide a framework for controlling, rewarding and enabling collaboration between organizational actors in project networks. Project management literature has shied away from using simulation as a research method for various reasons. However, at some po
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Waghray, Rasagnya. "EXPLORING REDUCED TRAFFIC SIGNALS USING AGENT BASED MODELING." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/372.

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The need for measures to reduce congestion in metropolitan traffic has been a pressing concern as citizens' cluster in larger cities with the immediate side effect of an increase in traffic demand. A functioning society depends on the mobility provided by the transportation network to enable its members to participate in essential activities such as production, consumption, communication, and recreation. However, it is necessary for a society to introduce congestion-relief measures for improved quality of life, the environment, and maintained safety of the citizens. The project has three compo
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Demianyk, Bryan C. P. "Development of agent-based models for healthcare: applications and critique." IEEE, 2010. http://hdl.handle.net/1993/31049.

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Abstract (sommario):
Agent-based modeling (ABM) is a modeling and simulation paradigm well-suited to social systems where agents interact and have some degree of autonomy. In their most basic sense, ABMs consist of agents (generally, individuals) interacting in an environment according to a set of behavioural rules. The foundational premise and the conceptual depth of ABM is that simple rules of individual behaviour will aggregate to illuminate complex and/or emergent group-level phenomena that are not specifically encoded by the modeler and that cannot be predicted or explained by the agent-level rules. In essen
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Libri sul tema "Agent-based modeling"

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Zaffar, Muhammed, and Hari Rajagopalan. Agent-Based Modeling. SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071912539.

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Taylor, Simon J. E., ed. Agent-Based Modeling and Simulation. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137453648.

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Lemos, Carlos M. Agent-Based Modeling of Social Conflict. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67050-8.

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Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño, Oscar Fontenla-Romero, et al., eds. Agent-Based Modeling of Sustainable Behaviors. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46331-5.

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Hokamp, Sascha, László Gulyás, Matthew Koehler, and Sanith Wijesinghe, eds. Agent-based Modeling of Tax Evasion. John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119155713.

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Arai, Kiyoshi, Hiroshi Deguchi, and Hiroyuki Matsui, eds. Agent-Based Modeling Meets Gaming Simulation. Springer Japan, 2005. http://dx.doi.org/10.1007/4-431-29427-9.

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1950-, Arai K., Deguchi Hiroshi 1955-, Matsui H, and International Simulation and Gaming Association. International Conference, eds. Agent-based modeling meets gaming simulation. Springer, 2005.

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1958-, Grimm Volker, ed. Agent-based and individual-based modeling: A practical introduction. Princeton University Press, 2012.

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Wurzer, Gabriel, Kerstin Kowarik, and Hans Reschreiter, eds. Agent-based Modeling and Simulation in Archaeology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-00008-4.

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Va.) Agent-Based Modeling and Simulation Workshop 2010 (2010 McLean. Agent-Based Modeling and Simulation Workshop 2010. Turner-Fairbank Highway Research Center, Office of Operations R&D, 2011.

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Capitoli di libri sul tema "Agent-based modeling"

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Helbing, Dirk. "Agent-Based Modeling." In Understanding Complex Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24004-1_2.

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Barnes, David J., and Dominique Chu. "Agent-Based Modeling." In Guide to Simulation and Modeling for Biosciences. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6762-4_2.

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Marchione, Elio, and Mauricio Salgado. "Agent-Based Modeling." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_740.

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Barnes, David J., and Dominique Chu. "Agent-Based Modeling." In Introduction to Modeling for Biosciences. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-326-8_2.

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Wang, Zhihui, and Thomas S. Deisboeck. "Agent-based Modeling." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_925.

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DeLaurentis, Daniel A., Kushal Moolchandani, and Cesare Guariniello. "Agent-Based Modeling." In System of Systems Modeling and Analysis. CRC Press, 2022. http://dx.doi.org/10.1201/9781003231011-8.

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Tang, Chen, and Yihao Liu. "Agent-Based Modeling." In Computational Modeling for Industrial-Organizational Psychologists. Routledge, 2023. http://dx.doi.org/10.4324/9781003388852-9.

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Hoffmann, Matthew J. "Agent-based Modeling." In Qualitative Methods in International Relations. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230584129_12.

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Khazaii, Javad. "Agent-Based Modeling." In Advanced Decision Making for HVAC Engineers. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33328-1_13.

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Sulis, Emilio, and Kuldar Taveter. "Agent-Oriented Modeling." In Agent-Based Business Process Simulation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98816-6_5.

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Atti di convegni sul tema "Agent-based modeling"

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Kiselev, Nikolay. "Event-Based and Agent-Based Modeling." In 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2025. https://doi.org/10.1109/icieam65163.2025.11028574.

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Gumahad, Bong, and Andrew J. Collins. "Comparing Simulated Autonomous Swarm Systems using Agent-Based Modeling." In 2024 Annual Modeling and Simulation Conference (ANNSIM). IEEE, 2024. http://dx.doi.org/10.23919/annsim61499.2024.10732311.

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Li, Xiaoming, Zhongbin Su, Hongmin Sun, and Ping Zheng. "Agent-Based Plant Growth Modeling." In 2009 Fourth International Conference on Internet Computing for Science and Engineering (ICICSE). IEEE, 2009. http://dx.doi.org/10.1109/icicse.2009.8.

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Illangakoon, C., R. D. McLeod, and M. R. Friesen. "Agent based modeling of malaria." In 2014 IEEE Canada International Humanitarian Technology Conference (IHTC). IEEE, 2014. http://dx.doi.org/10.1109/ihtc.2014.7147546.

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Macal, Charles M., and Michael J. North. "Agent-based modeling and simulation." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429318.

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Yue, Zheng, Dong Sui, Yingda Lin, and Junfeng Zhang. "Multi-Agent Based Air Traffic Simulation System." In AIAA Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-2495.

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Rothfeld, Raoul, MIlos Balac, Kay O. Ploetner, and Constantinos Antoniou. "Agent-based Simulation of Urban Air Mobility." In 2018 Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-3891.

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Situngkir, Hokky, and Deni Khanafiah. "Theorizing Corruption through Agent-Based Modeling." In 9th Joint Conference on Information Sciences. Atlantis Press, 2006. http://dx.doi.org/10.2991/jcis.2006.183.

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Ozik, Jonathan, Nicholson T. Collier, John T. Murphy, and Michael J. North. "The ReLogo agent-based modeling language." In 2013 Winter Simulation Conference - (WSC 2013). IEEE, 2013. http://dx.doi.org/10.1109/wsc.2013.6721539.

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Masad, David, and Jacqueline Kazil. "Mesa: An Agent-Based Modeling Framework." In Python in Science Conference. SciPy, 2015. http://dx.doi.org/10.25080/majora-7b98e3ed-009.

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Rapporti di organizzazioni sul tema "Agent-based modeling"

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Butts, David Joshua. Agent Based Modeling for Multi-threat Environments. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1477601.

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Michels, Alexander, and Shaowen Wang. An Agent-Based Modeling Approach to Spatial Accessibility. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317670.

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Jensen, David. Analytical Tools for Investigating and Modeling Agent-Based Systems. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada436228.

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Mniszewski, Susan M., and Sara Y. Del Valle. EpiSimS: Large-Scale Agent-based Modeling of the Spread of Disease. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1078365.

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Borsos, András, Adrian Carro, Aldo Glielmo, Marc Hinterschweiger, Jagoda Kaszowska-Mojsa, and Arzu Uluc. Agent-based modeling at central banks: recent developments and new challenges. Banco de España, 2025. https://doi.org/10.53479/39238.

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Abstract (sommario):
Over the past decade, agent-based models (ABMs) have been increasingly employed as analytical tools within economic policy institutions. This paper documents this trend by surveying the ABM-relevant research and policy outputs of central banks and other related economic policy institutions. We classify these studies and reports into three main categories: (i) applied research connected to the mandates of central banks; (ii) technical and methodological research supporting the advancement of ABMs; and (iii) examples of the integration of ABMs into policy work. Our findings indicate that ABMs ha
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Kogut, Paul. DARPA Agent Markup Language (DAML) Unified Modeling Language (UML)-Based Ontology Toolset (UBOT). Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440653.

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Cajka, James, Philip Cooley, and William Wheaton. Attribute Assignment to a Synthetic Population in Support of Agent-Based Disease Modeling. RTI Press, 2010. http://dx.doi.org/10.3768/rtipress.2010.mr.0019.1009.

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Sanders, David M., and William B. Carlton. Information Overload at the Tactical Level (an Application of Agent Based Modeling and Complexity Theory in Combat Modeling). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405459.

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Garagic, Denis. Fast Interactive Integrated Modeling and Strategy Design (FASTIMS) - The Dynamic Pathways Agent-Based Model. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada485336.

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Ruth, Brian G., and J. D. Eckart. Agent-Based Modeling of a Network-Centric Battle Team Operating Within an Information Operations Environment. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada411990.

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