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Littérature scientifique sur le sujet « Models of an economic agent »

Auteur : Grafiati
Publié le 25 juillet 2024
Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Models of an economic agent"

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Chen, Shu-Heng, Chia-Ling Chang, and Ye-Rong Du. "Agent-based economic models and econometrics." Knowledge Engineering Review 27, no. 2 (2012): 187–219. http://dx.doi.org/10.1017/s0269888912000136.

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AbstractThis paper reviews the development of agent-based (computational) economics (ACE) from an econometrics viewpoint. The review comprises three stages, characterizing the past, the present, and the future of this development. The first two stages can be interpreted as an attempt to build the econometric foundation of ACE, and, through that, enrich its empirical content. The second stage may then invoke a reverse reflection on the possible agent-based foundation of econometrics. While ACE modeling has been applied to different branches of economics, the one, and probably the only one, whic
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Churilin, M. Yu, and T. A. Valiulina. "Changes in Models of Economic Agent and Economic Space." Vestnik of the Plekhanov Russian University of Economics, no. 2 (March 18, 2025): 13–24. https://doi.org/10.21686/2413-2829-2025-2-13-24.

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The article analyzes characteristics of homo economicus model and space, where it functions. Principles underlying this quasi-natural scientific model are explained in view of physicalism. Arguments are also provided that allow us to make a conclusion about changing requirements to economic agent in institutional economy. Therefore, from the natural scientific position a hypothesis is advanced that new characteristics of agent can be taxonomically included in economic theory to illustrate the actor’s development. Apart from that a conclusion is drawn about the necessity of additional notions c
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Dawid, Herbert, and Michael Neugart. "Agent-based Models for Economic Policy Design." Eastern Economic Journal 37, no. 1 (2010): 44–50. http://dx.doi.org/10.1057/eej.2010.43.

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Fagiolo, G., and A. Roventini. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms." Voprosy Ekonomiki, no. 6 (June 20, 2009): 24–47. http://dx.doi.org/10.32609/0042-8736-2009-6-24-47.

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The article considers and compares two modern approaches to the scientific foundation of economic policy. The first one is a part of mainstream economics and involves developing dynamic stochastic general equilibrium models for analyzing business cycles and exogenous monetary shocks. The second one (which the authors prefer) is a creation of "agent-based models" with more realistic assumptions on the behavior and interactions of agents, absence of equilibrium and analytical solutions, but with computer simulations. The article criticizes an equilibrium approach, describes some results of appli
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Tsyplakov, Alexander A. "Agent-Based Modeling of Spatial Economic Systems: а Review". Journal of Siberian Federal University. Humanities & Social Sciences 14, № 12 (2021): 1910–19. http://dx.doi.org/10.17516/1997-1370-0869.

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The paper describes the current state of agent-based modeling of geographical space and spatial economic systems. We explore reasons why this approach to modeling spatial phenomena is of particular interest. Agent-based models (ABMs) allow accounting for agents’ spatial heterogeneity, the existing structure of the space, locality of interactions between agents. A survey of approaches to introducing space into the models and examples of the existing spatial models is presented. There is a great variety of spatial ABMs, but they relate predominantly to the local and city level, rather than to th
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Richmond, Peter, and Lorenzo Sabatelli. "Langevin processes, agent models and socio-economic systems." Physica A: Statistical Mechanics and its Applications 336, no. 1-2 (2004): 27–38. http://dx.doi.org/10.1016/j.physa.2004.01.007.

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Bragin, Alexey. "Algorithm for Generating Random Vectors in Economic models." Artificial societies 19, no. 1 (2024): 0. http://dx.doi.org/10.18254/s207751800029906-5.

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The initial step in constructing a multi-agent population model is the construction of a set of agent objects, the attributes of which will be distributed in accordance with statistical data about the real population, the model of which is to be built. These attributes, depending on the type of model, may include geographic location, social connections, employment, education, and income level, but the common point is that such data are often frequency tables of certain levels of classification of the values of individual traits of individuals in a population. Each table characterizes the distr
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Trinidad Segovia, Juan E., Fabrizio Di Sciorio, Raffaele Mattera, and Maria Spano. "A Bibliometric Analysis on Agent-Based Models in Finance: Identification of Community Clusters and Future Research Trends." Complexity 2022 (September 15, 2022): 1–11. http://dx.doi.org/10.1155/2022/4741566.

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Agent-based models are computational approaches used to reproduce the interactions between economic agents. These models are widely applied in many contexts to get deeper understanding about agents’ behaviors within complex systems. In this paper, we provide a bibliometric analysis about agent-based models in finance and, considering bibliographic coupling, we identify the presence of two distinct clusters of research communities, i.e., financial economics and econophysics. Cluster-specific thematic analyses are conducted to understand if the two communities are characterized by different emer
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Бричев, Т. Ю. "Модели и методы использования агенториентированного подхода в управлении экономикой". Applied Economic Researches Journal, № 1 (25 січня 2025): 32–38. https://doi.org/10.47576/2949-1908.2025.1.1.003.

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Статья посвящена обзору моделей и методов агенториентированного подхода в управлении экономикой. Целью исследования является дополнение содержания данных моделей и методов в управлении экономикой. Проводится обзор моделей и методов агенториентированного подхода в управлении экономикой. Выделены следующие ключевые модели: иерархические модели, вертикально-интегрированные структурные модели, экологические модели, а также методы комбинированного типа. Анализ показывает, что лишь небольшая часть моделей применима в рамках региональной или национальной экономики. Многие из методов не имеют апробаци
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Wolf, Sarah, Jean-Philippe Bouchaud, Federico Cecconi, et al. "Describing economic agent-based models – Dahlem ABM documentation guidelines." Complexity Economics 2, no. 1 (2013): 63–74. http://dx.doi.org/10.7564/13-coec12.

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Thèses sur le sujet "Models of an economic agent"

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Teglio, Andrea. "From agent-based models to artificial economies." Doctoral thesis, Universitat Jaume I, 2011. http://hdl.handle.net/10803/83303.

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The aim of this thesis is to propose and illustrate an alternative approach to economic modeling and policy design that is grounded in the innovative field of agent-based computational economics (ACE). The recent crisis pointed out the fundamental role played by macroeconomic policy design in order to preserve social welfare, and the consequent necessity of understanding the effects of coordinated policy measures on the economic system. Classic approaches to macroeconomic modeling, mainly represented by dynamic stochastic general equilibrium models, have been recently criticized for they diffi
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Šalamon, Tomáš. "Development of Agent-based Models for Economic Simulation." Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-77101.

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This thesis is about the development of agent-based models that are a method of simulation of economic processes and environments using multi-agent systems. Agent-based modeling seems to be an unappreciated approach that is expected and has a potential for a much wider application than it actually has. The purpose of thiswork is to evaluate the reasons for such situation and to offer solutions. The following were identified among the reasons for a low utilization of the method: a wide gap between theory and practice in the field, doubtful reliability of the method, lowconfidence in its results
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Jiang, Wei. "Essays on fiscal policy in heterogeneous agent models." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4148/.

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This thesis consists of three inter-related chapters designed to study the effects of fiscal policy on unemployment, the distribution of income, and social welfare in heterogeneous agent models incorporating unemployment. Each chapter employs a different setup for unemployment in a general equilibrium framework. These include models of equilibrium unemployment, right-to-manage union bargaining, and search and matching. Chapter 1 develops a model with equilibrium unemployment to study the effects of optimal taxation under commitment. Two models are explored: a model with zero economic profits a
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Silvestre, Joao Alexandre Parreira. "Agent-Based models in macroeconomics." Doctoral thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20604.

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Doutoramento em Economia<br>A crise financeira de 2007/2008 desencadeou uma onda de críticas à teoria económica. Ataques baseados em quatro críticas principais: os economistas não terem previsto a maior crise desde a Grande Depressão; as autoridades deixarem formar bolhas sem controlo; o falhanço da supervisão bancária; e os modelos usados serem desfasados da realidade. No caso dos modelos, o alvo principal são os modelos DSGE (dinâmicos, estocásticos e de equilíbrio geral) e duas das suas hipóteses simplificadoras: o agente representativo e a racionalidade. As economias são realidades complex
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Wan, Hakman Alberick. "On the agent market model of stock markets." Thesis, University of Sunderland, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288016.

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Banerjee, Anindya. "Information and contracts : a study of principal-agent relationships." Thesis, University of Oxford, 1987. http://ora.ox.ac.uk/objects/uuid:62b32d23-b43f-4a1a-a4e0-8185e3104ecd.

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This thesis is concentrated broadly in the field of mathematical industrial economics and more specifically upon what is known in the literature as principal-agent relationships. It focuses on investigating the nature of optimal contracts between, say, owners of the firm and the manager appointed by them to run the affairs of the firm or yet again between the owners and the workers employed in the firm. Chapter 1 introduces by first establishing the background of the analysis and then summarising the results of the thesis. The background consists mainly of implicit contract models, both of the
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Safarzynska, Karolina, Roy Brouwer, and Marjan Hofkes. "Evolutionary modelling of the macro-economic impacts of catastrophic flood events." Elsevier, 2013. http://dx.doi.org/10.1016/j.ecolecon.2013.01.016.

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This paper examines the possible contribution of evolutionary economics to macro-economic modelling of flood impacts to provide guidance for future economic risk modelling. Most macro-economic models start from a neoclassical economic perspective and focus on equilibrium outcomes, either in a static or dynamic way, and describe economic processes at a high level of aggregation. As a consequence, they typically fail to account for the complexity of social interactions and other behavioural responses of consumers and producers to disasters, which may affect the macroeconomic impacts of floods. E
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RIZZATI, MASSIMILIANO CARLO PIETRO. "Heterogeneity in Space: An Agent-based Economic Geography model." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/241299.

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Questa Tesi vuole arricchire la letteratura della Geografia Economica indagando il caso di agenti eterogenei che operano con razionalità limitata in strutture spaziali complesse. Nel primo capitolo, propongo un modello macroeconomico Agent-based flessibile, dotato di famiglie e imprese che interagiscono su un determinato network spaziale. L'euristica delle decisioni degli agenti incorpora e riproduce le caratteristiche solitamente utilizzate nei modelli di Economia Geografica tradizionale, come trasferimenti e migrazione, commercio, e costi di trasporto. Ciò consente di verificare l'emergere e
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Knicker, Max. "A Complex Systems Perspective on Economic Modelling : From Macroeconomic Agent-Based Models to Labor Market Bottlenecks." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAX010.

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En mêlant modélisation multi-agents, science des réseaux et approches des systèmes complexes, ce travail apporte de nouvelles perspectives face aux défis économiques. Les modèles multi-agents (ABM) offrent un cadre d’analyse novateur pour simuler des dynamiques macroéconomiques, s’intéressant aux phénomènes émergents tels que les cycles économiques, l’inflation et les crises. En étendant le modèle Mark-0, cette thèse introduit un mécanisme d’ancrage des anticipations pour analyser l’inflation post-COVID et l’efficacité des politiques économiques qui suivirent. Les résultats montrent que le suc
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Perry, Stanley Foster. "Distributed Economic Systems with Agents that Learn." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/1271.

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Economic systems are distributed in the sense that economic agents make decisions without any central control. Prices, quantities, wealth, and market structure emerge from the interaction of agents acting in their own self interest. The concepts and language of systems science are used to define economic systems in a manner that captures and articulates the distributed nature of economic systems. Further, the systems definition permits multiple views of the economic system, and in addition, allows the agents to "step outside" the system in order to study it. Economic systems are defined in suc
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Livres sur le sujet "Models of an economic agent"

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LeBaron, Blake, and Peter Winker, eds. Agent Based Models for Economic Policy Advice. De Gruyter, 2008. http://dx.doi.org/10.1515/9783110508840.

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Bakhtizin, A. R. Agent-orientirovannye modeli ėkonomiki. Ėkonomika, 2008.

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Bakhtizin, A. R. Agent-orientirovannye modeli ėkonomiki. Ėkonomika, 2008.

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1963-, Luna Francesco, and Stefansson Benedikt, eds. Economic simulations in Swarm: Agent-based modelling and object oriented programming. Kluwer Academic, 2000.

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Zhang, Weiying. A principal-agent theory of the public economy. City University of Hong Kong, Department of Economics and Finance, 1997.

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International Workshop on Agent-Based Approaches in Economic and Social Complex Systems (1st 2001 Matsue-shi, Japan). Agent-based approaches in economic and social complex systems. IOS Press, 2002.

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Santa Fe Institute (Santa Fe, N.M.), ed. Agent-based modeling: The Santa Fe Institute artificial stock market model revisited. Springer, 2008.

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1963-, Luna Francesco, and Perrone Alessandro, eds. Agent-based methods in economics and finance: Simulations in Swarm. Kluwer Academic Publishers, 2002.

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1947-, Laffont Jean-Jacques, ed. The principal agent model: The economic theory of incentives. E. Elgar Pub., 2003.

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Domenico, Delli Gatti, ed. Emergent macroeconomics: An agent-based approach to business fluctuations. Springer, 2008.

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Chapitres de livres sur le sujet "Models of an economic agent"

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Maialeh, Robin. "Who Are Agents in Agent-Based Economic Models?" In Dynamic Models and Inequality. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46313-7_4.

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Chakraborti, Anirban, and Guido Germano. "Agent-based models of economic interactions." In Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences. Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4946-3_1.

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Page, Scott E. "Agent-Based Models." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1992-1.

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Page, Scott E. "Agent-Based Models." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_1992.

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Cristelli, Matthieu, Andrea Tacchella, and Luciano Pietronero. "An Overview of the New Frontiers of Economic Complexity." In Econophysics of Agent-Based Models. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00023-7_8.

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Osborne, Martin J., and Ariel Rubinstein. "A market with asymmetric information." In Models in Microeconomic Theory, 2nd ed. Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0361.14.

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This chapter discusses an equilibrium concept that differs from the notions of competitive equilibrium discussed in Chapters 9–12. The models in the earlier chapters specify the precise set of economic agents who operate in the market, and an equilibrium specifies the terms of trade (prices) for which the aggregate demand and supply of these agents are equal. The model we study in this chapter does not explicitly specify the set of agents. As a consequence, the equilibrium notion is more abstract. A set of contracts is an equilibrium if no agent who offers a contract wants to withdraw it, and
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Osborne, Martin J., and Ariel Rubinstein. "A market with asymmetric information." In Models in Microeconomic Theory, 2nd ed. Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0362.14.

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This chapter discusses an equilibrium concept that differs from the notions of competitive equilibrium discussed in Chapters 9–12. The models in the earlier chapters specify the precise set of economic agents who operate in the market, and an equilibrium specifies the terms of trade (prices) for which the aggregate demand and supply of these agents are equal. The model we study in this chapter does not explicitly specify the set of agents. As a consequence, the equilibrium notion is more abstract. A set of contracts is an equilibrium if no agent who offers a contract wants to withdraw it, and
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Dawid, Herbert, Karl Doerner, Richard F. Hartl, et al. "Neural Networks in Agent-Based Economic Modeling." In Quantitative Models of Learning Organizations. Springer Vienna, 2002. http://dx.doi.org/10.1007/978-3-7091-6158-6_7.

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Gallegati, Mauro. "The Crisis of Economics." In Complex Agent-Based Models. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93858-5_2.

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Squartini, Tiziano, and Diego Garlaschelli. "Jan Tinbergen’s Legacy for Economic Networks: From the Gravity Model to Quantum Statistics." In Econophysics of Agent-Based Models. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00023-7_9.

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Actes de conférences sur le sujet "Models of an economic agent"

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Gill, Amit, Manabu Kawashima, Joshua Panganiban, and Maddegedara Lalith. "Development of a 1:1 scale Multi-region Agent-based Economic Model for Estimating Economic Impacts of Infrastructure Damages." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0461.

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&lt;p&gt;We develop a 1:1 scale multi-region agent-based economic model (MR-ABEM), capable of simulating large national economies as a collection of regional/prefectural/state economies, for estimating the economic impacts of disasters. At the core, the MR-ABEM consists of several agent- based economic models (ABEMs), one for each region (e.g., a prefecture in case of Japan), which interact among themselves through exchange of labour and goods. Each regional economy is modelled at 1:1-scale and consists of thousands of firms belonging to hundreds of industries, thousands of foreign firms, mill
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R, Rajesh, Rajendra Mahanandia, Parvana Muhammad Ismayilova, A. Thangam, Amruta Mule, and Kuldeep Agnihotri. "Strategic Entrepreneurship and Economic Development Using Deep Multi-Agent Reinforcement Learning Models." In 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC). IEEE, 2024. https://doi.org/10.1109/icmnwc63764.2024.10871978.

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Zhang, Jinlong, Bo Peng, Zhongao Liu, Yubing Liu, Shipeng Sun, and Xin Ma. "Economic Optimization Model of Building Aggregator Based on Multi-Agent Master-Slave Game." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865546.

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Fluri, Lars, A. Ege Yilmaz, Denis Bieri, Thomas Ankenbrand, and Aurelio Perucca. "Simulating Illiquid Markets: Insights from Fractional Ownership Trading and Agent-Based Models." In 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics Companion (CiFer Companion). IEEE, 2025. https://doi.org/10.1109/cifercompanion65204.2025.10980402.

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Černohorský, Jiří, Stanislav Šafránek, and Kamila Štekerová. "Game Theory and Agent-Based Models in Epidemiology: Exploration of Strategies with NetLogo." In Hradec Economic Days 2024, edited by Jan Maci, Petra Maresova, Krzysztof Firlej, and Ivan Soukal. University of Hradec Kralove, 2024. http://dx.doi.org/10.36689/uhk/hed/2024-01-009.

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Ouhmidou, Ichraq, Khalid AL Zebdeh, and Emad Summad. "Reimagining Economic Opportunity:Preliminary Agent-based Model of Economic Stratification." In 2nd GCC International Conference on Industrial Engineering and Operations Management. IEOM Society International, 2024. https://doi.org/10.46254/gc02.20240139.

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Shvecov, Anatoly, Sergey Dianov, and D. A. Zaripova. "Agent architecture implementation in models of socio-ecological-economic systems." In DEFIN2020: III International Scientific and Practical Conference. ACM, 2020. http://dx.doi.org/10.1145/3388984.3390881.

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Costa, Antônio Carlos da Rocha. "Energy Systems in Material Agent Societies." In Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Sociedade Brasileira de Computação, 2017. https://doi.org/10.5753/wesaac.2017.33226.

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This paper concerns material agent societies, that is, agent societies inhabited by material agents. The paper introduces the concept of energy system of a material agent society, as the organizational sub-systems responsible for the coordination of the production, distribution and consumption of energy in material agent societies. Two models (labor-based and work-based) for energy systems are formally defined, and the conditions of their equilibrated functioning formulated. The possible relation between economic and political systems, and energy systems, in material agent societies, is briefl
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Wang, Chun, Weiming Shen, and Hamada Ghenniwa. "Negotiation in Agent Based Manufacturing Scheduling Using Auction Models." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80905.

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This paper investigates issues in the application of auctions as negotiation mechanisms to agent based manufacturing scheduling. We model the negotiation environments that agents encounter as inter-enterprise environment and intra-enterprise environment. A formulation of intra-enterprise scheduling economy is presented. We proved that at price equilibrium, the solution computed by the agents in the economy is a Pareto optimal. AS our first attempt, we formally formulate automated auction configuration as an optimization problem. By solving the problem adaptive negotiation in multi-agent system
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"Two Modes of Scheduling in a Simple Economic Agent-Based Model." In 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004032203030308.

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Rapports d'organisations sur le sujet "Models of an economic agent"

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Sprigg, James A., Richard J. Pryor, and Craig Reed Jorgensen. Approach and development strategy for an agent-based model of economic confidence. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/903423.

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Stermieri, Lidia, Tom Kober, Russell McKenna, Thomas J. Schmidt, and Evangelos Panos. Socio-economic energy model for digitalization (SEED) overview design concept and details (ODD) protocol. Paul Scherrer Institute, PSI, 2023. http://dx.doi.org/10.55402/psi:56617.

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The Socio-Economic Energy Model for Digitalization (SEED) quantifies digitalization's impacts on technology investment choices, energy consumption, and emissions in different energy sectors. It belongs to the class of Agent Based Models and simulates the decision processes of various heterogenous actors of the energy system: households, services sectors and industry sectors. These decision processes relate to the adoption of digital services and practices, as well as the investment in end-use energy technologies to support them. The model represents a large set of complex interactions between
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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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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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Carroll, Daniel R., André Victor D. Luduvice, and Eric R. Young. A Note on Aggregating Preferences for Redistribution. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202427.

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The policy predictions of standard heterogeneous agent macroeconomic models are often at odds with observed policies. We use the 2021 General Social Survey to investigate the drivers of individuals' preferences over taxes and redistribution. We find that these preferences are more strongly associated with political identity than with economic status. We discuss the implications for quantitative macroeconomic models with endogenous policy determination.
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Peralta-Alva, Adrian, and Manuel S. Santos. Problems in the Numerical Simulation of Models with Heterogeneous Agents and Economic Distortions. Federal Reserve Bank of St. Louis, 2009. http://dx.doi.org/10.20955/wp.2009.036.

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Horton, John. Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31122.

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Acharya, Sushant, and Paolo Pesenti. Spillovers and Spillbacks. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1089.

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We study international monetary policy spillovers and spillbacks in a tractable two-country Heterogeneous Agent New Keynesian model. Relative to Representative Agent (RANK) models, our framework introduces a precautionary-savings channel, as households in both countries face uninsurable income risk, and a real-income channel, as households have heterogeneous marginal propensities to consume (MPC). While both channels amplify the size of spillovers/spillbacks, only precautionary savings can change their sign relative to RANK. Spillovers are likely to be larger in economies with higher fractions
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Grainger, Matthew, Simone Piras, Simone Righi, Marco Setti, Gavin Stewart, and Matteo Vittuari. Integrated model of consumer behaviours in relation to food waste : Behavioural economics : D4.4 Linking Bayesian and agent-based models to assess consumer food waste. REFRESH, 2019. http://dx.doi.org/10.18174/477976.

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Pérez Montes, Carlos, Alejandro Ferrer, Gabriel Jiménez, et al. Individual and sectoral analysis framework for the impact of economic and financial risks. Banco de España, 2023. http://dx.doi.org/10.53479/34812.

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The Banco de España uses various microeconomic models, mostly of an empirical nature, to support its decision-making in relation to the analysis of economic and financial risks and economic policy advice. These models, which complement those of a macroeconomic nature, seeks to identify the potentially heterogeneous impact on different groups of agents of certain economic, financial or public policy scenarios. This analysis covers many areas, including the study of the behaviour of households and non-financial corporations, the internal credit rating of companies, the study of the demand for an
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Chipeniuk, Karsten, Gulnara Nolan, and Matt Nolan. HANK and the Transmission of Shocks to Demand and Supply. Reserve Bank of Australia, 2025. https://doi.org/10.47688/rdp2025-04.

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In this paper we study the propagation of demand and supply shocks in a heterogeneous agent New Keynesian model. Calibrating the model to Australia, we explore how inequality in the model affects shock transition, as well as how shocks impact individuals differently across the distribution. Contrary to much of the literature, with a single asset in the model we find a dampening in the response of the real economy to a monetary policy shock, driven by falling consumption in the extremes of the distribution. This dampening is likely due to the high holdings of liquid assets by many households in
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