Bibliographies thématiques / Heterogeneous Agents Models

Littérature scientifique sur le sujet « Heterogeneous Agents Models »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Heterogeneous Agents Models"

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Gatti, Domenico Delli, Corrado Di Guilmi, Mauro Gallegati et Simone Landini. « Reconstructing Aggregate Dynamics in Heterogeneous Agents Models ». Revue de l'OFCE 124, no 5 (2012) : 117. http://dx.doi.org/10.3917/reof.124.0117.

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Borissov, Kirill Yu, et Mikhail A. Pakhnin. « Social Welfare in Growth Models with Heterogeneous Agents ». St Petersburg University Journal of Economic Studies 35, no 2 (2019) : 173–96. http://dx.doi.org/10.21638/spbu05.2019.201.

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Boháček, Radim, et Michal Kejak. « Optimal government policies in models with heterogeneous agents ». Journal of Economic Theory 176 (juillet 2018) : 834–58. http://dx.doi.org/10.1016/j.jet.2018.05.008.

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Thiem, Thomas N., Felix P. Kemeth, Tom Bertalan, Carlo R. Laing et Ioannis G. Kevrekidis. « Global and local reduced models for interacting, heterogeneous agents ». Chaos : An Interdisciplinary Journal of Nonlinear Science 31, no 7 (juillet 2021) : 073139. http://dx.doi.org/10.1063/5.0055840.

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XU, YINGYING, ZHIXIN LIU et XING ZHANG. « HETEROGENEOUS OR HOMOGENEOUS INFLATION EXPECTATION FORMATION MODELS : A CASE STUDY OF CHINESE HOUSEHOLDS AND FINANCIAL PARTICIPANTS ». Singapore Economic Review 62, no 04 (septembre 2017) : 859–74. http://dx.doi.org/10.1142/s0217590817400306.

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This paper attempts to identify whether the inflation expectation formation models adopted by Chinese agents are heterogeneous or homogeneous. A Gaussian mixture model is developed assuming that agents form inflation expectations by selecting a model from alternatives. Analysis results reveal that only adaptive expectation (AE) model is significant, indicating that both households and financial participants are fairly homogeneous in selecting inflation expectation formation models. Therefore, the mechanism of heterogeneous models is inoperative in explaining the heterogeneous inflation expectations in China, and the AE is the main driver of Chinese agents’ perceptions about cost.
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Bertin, Eric. « Emergence of Simple Characteristics for Heterogeneous Complex Social Agents ». Symmetry 12, no 8 (2 août 2020) : 1281. http://dx.doi.org/10.3390/sym12081281.

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Models of interacting social agents often represent agents as very simple entities with a small number of degrees of freedom, as exemplified by binary opinion models for instance. Understanding how such simple individual characteristics may emerge from potentially much more complex agents is thus a natural question. It has been proposed recently in [E. Bertin, P. Jensen, C. R. Phys. 20, 329 (2019)] that some types of interactions among agents with many internal degrees of freedom may lead to a ‘simplification’ of agents, which are then effectively described by a small number of internal degrees of freedom. Here, we generalize the model to account for agent intrinsic heterogeneity. We find two different simplification regimes, one dominated by interactions, where agents become simple and identical as in the homogeneous model, and one where agents remain strongly heterogeneous although effectively with simple characteristics.
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Motta, Giorgio, et Patrizio Tirelli. « MONEY TARGETING, HETEROGENEOUS AGENTS, AND DYNAMIC INSTABILITY ». Macroeconomic Dynamics 19, no 2 (7 janvier 2014) : 288–310. http://dx.doi.org/10.1017/s1365100513000394.

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The limited asset-market participation hypothesis has triggered a debate on DSGE models' determinacy when the central bank implements a standard Taylor rule. We reconsider the issue here in the context of an exogenous money supply rule, documenting the role of nominal and real frictions in determining these results. A general conclusion is that frictions matter for stability insofar as they redistribute income between Ricardian and non-Ricardian households when shocks hit the economy. Finally, we extend the model to allow for the possibility that consumers who do not participate in the market for interest-bearing securities hold money. In this case, endogenous monetary transfers between the two groups make it possible to smooth consumption differences, and the model is determinate, provided that the non-negativity constraint on individual money holdings is satisfied.
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Den Haan, Wouter J., Kenneth L. Judd et Michel Juillard. « Computational suite of models with heterogeneous agents II : Multi-country real business cycle models ». Journal of Economic Dynamics and Control 35, no 2 (février 2011) : 175–77. http://dx.doi.org/10.1016/j.jedc.2010.09.010.

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M. Beaumont, P., A. J. Culham et A. N. Kercheval. « Asset Market Dynamics in Equilibrium Models with Heterogeneous Agents : Analytical Results ». Advances in Economics and Business 1, no 2 (septembre 2013) : 49–56. http://dx.doi.org/10.13189/aeb.2013.010202.

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Donaghy, Kieran P. « Models of travel demand with endogenous preference change and heterogeneous agents ». Journal of Geographical Systems 13, no 1 (11 septembre 2010) : 17–30. http://dx.doi.org/10.1007/s10109-010-0129-1.

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Thèses sur le sujet "Heterogeneous Agents Models"

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Garcia, Alvarado Fernando <1991&gt. « Computational models of tax evasion with heterogeneous agents ». Doctoral thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/19521.

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The fundamental purpose of my dissertation is to further understand the roles played by taxpayer heterogeneity and social influence in tax-evasion dynamics, and to derive normative insights about optimal policy design considering both rational and non-rational taxpayers. How should fiscal policies be designed under the consideration of heterogeneous taxpayers? What is the role of social dynamics in public policy implementation? Which are the implications of rationality and (bounded) non-rationality of taxpayers in policy design? To answer these and similar questions, the first objective of the current thesis is to build on recent developments from behavioral economics, experimental economics and economic psychology to derive models with heterogeneous agents which have strong empirical and analytical micro-foundations. Mathematical models of individual and collective taxpayer behavior, however, are often too complex to be fully characterized analytically. To overcome this obstacle, we incorporate state-of-the-art computational models to simulate taxpayer behavior under different fiscal environments and to study the potential implications of diverse policy implementations. The second objective of my research concerns the optimal fiscal policy design under the consideration of taxpayer heterogeneity and social influence dynamics, with a normative focus. Acknowledging that taxpayer behavior evolves according to different dynamic processes, which depend on how taxpayers adapt their expectations about future enforcement regimes and penalty possibilities, we employ recent insights from game theory and network theory applied to social networks and information diffusion to capture the effects and repercussions of social influence dynamics. It is of utmost importance for policymakers to understand not only the individual decision-making processes of taxpayers, but also the emergence of aggregate behaviors as a consequence of idiosyncratic beliefs, social interactions, policy announcements, taxpayer expectations, diffusion of tax-related information, enforcement measures and potential policy implementations. The third objective of this work aims to design optimal fiscal policies in diverse economic scenarios where a social planner faces strategic tax evaders who can observe and react against the implemented fiscal policies. Harsher audit and penalty rates may affect taxpayer behavior. However, taxpayers' expectations, social influence and non-pecuniary factors also play prominent roles in both individual and collective taxpayer behaviors. The literature recognizes that taxpayer behavior is influenced not only by the probability of being audited and the possible incurred penalties, but also by tax rates, feelings of regret, uncertainty, risk aversion, psychic costs, peer effects, social interactions, social norms, the efficiency of government expenditures, the perceived power of the government, tax morale and the degree of trust that citizens place in the authority. Following, a central challenge is how to derive appropriate policy recommendations while considering the different ways in which taxpayers may behave, react, optimize and carry out their respective decision-making processes. The research presented in this work combines a set of interdisciplinary insights and findings from behavioral economics, experimental economics and economic psychology to derive models that formally characterize the prevalent theoretical and empirical results in tax-evasion literature. We also consider recent developments from network theory to model taxpayer social networks and to study peer-to-peer communication, the spread of information along the network, and the resulting social influence dynamics. Moreover, we aim to apply sophisticated game-theoretic techniques to identify the key individuals and links in a taxpayer network which ought to be targeted by a social planner or policymaker in order to minimize the aggregate level of tax evasion.
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Pfister, Alexander. « Heterogeneous trade intervals in an agent based financial market ». SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2003. http://epub.wu.ac.at/658/1/document.pdf.

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This paper studies the dynamics of an asset pricing model based on simple deterministic agents. Traders are heterogeneous with respect to their time horizon, prediction function and trade interval. Concerning the trade interval we distinguish between intraday traders and end-of-day traders. Intraday traders update their portfolio every period, whereas end-of-day traders adjust their positions only at the closing price of each trading day. The parameter values of the model were partially determined by an adapted Markov chain Monte Carlo sampling method. We analyse the properties of the time series and find that they exhibit low autocorrelation of the returns, volatility clustering and fat tails. Particularly heterogeneous trade intervals seem to be an important factor for generating time series showing "stylized facts". (author's abstract)
Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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Oh, Jonghyeon. « Essays on Business Cycles and Dynamic Stochastic General Equilibrium Models with Heterogeneous Agents ». The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397790687.

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Stavrunova, Olena. « Labor market policies in an equilibrium matching model with heterogeneous agents and on-the-job search ». Diss., University of Iowa, 2007. http://ir.uiowa.edu/etd/150.

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Dzemski, Andreas [Verfasser], et Markus [Akademischer Betreuer] Frölich. « Testing econometric models with heterogeneous agents : applications in treatment analysis and networks / Andreas Dzemski. Betreuer : Markus Frölich ». Mannheim : Universitätsbibliothek Mannheim, 2015. http://d-nb.info/1074358821/34.

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Ormeño, Sánchez Arturo. « Essays on Inflation Expectations, Heterogeneous Agents, and the Use of Approximated Solutions in the Estimation of DSGE models ». Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/51247.

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In this thesis I evaluate the departures of three common assumptions in macroeconomic modeling and estimation, namely the Rational Expectations (RE) hypothesis, the representative agent assumption and the use of first-order approximations in the estimation of dynamic stochastic general equilibrium (DSGE) models. In the first chapter I determine how the use of survey data on inflation expectations in the estimation of a model alters the evaluation of the RE assumption in comparison to an alternative assumption, namely learning. In chapter two, I use heterogeneous agent models to determine the relationship between income volatility and the demand for durable goods. In the third chapter I evaluate if the use of first-order approximations in the estimation of a model could affect the evaluation of the determinants of the Great Moderation.
En esta tesis analizo desvíos de tres supuestos comunes en la elaboración y estimación de modelos macroeconómicos. Estos supuestos son la Hipótesis de Expectativas Racionales (ER), el supuesto del Agente Representativo, y el uso de aproximaciones de primer orden en la estimación de los modelos de equilibrio general. En el primer capítulo determino como el empleo de datos de expectativas de inflación en la estimación de un modelo puede alterar la evaluación del supuesto de ER en comparación a un supuesto alternativo como learning. En el segundo capítulo, utilizo modelos de agentes heterogéneos para determinar la relación entre la volatilidad de los ingresos y la demanda de bienes durables. En el tercer capítulo, analizo si el uso de aproximaciones de primer orden afecta la evaluación de los determinantes de la Gran Moderación.
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Merlin, Giovanni Tondin. « Essays on heterogeneous agent models with entrepreneurship ». reponame:Repositório Institucional do FGV, 2018. http://hdl.handle.net/10438/22066.

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Submitted by Giovanni Tondin Merlin (gtmerlin@hotmail.com) on 2018-04-26T20:30:59Z No. of bitstreams: 1 Giovanni_Merlin_PhdThesis.pdf: 2320745 bytes, checksum: 5570b1e9282fcd00b0c9bc7c8cd2f61c (MD5)
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This thesis is composed of three essays related to heterogeneous agent models with entrepreneurship. The first chapter adds aggregate uncertainty in a heterogeneous agent model with entrepreneurship and financial frictions, in order to evaluate the welfare effects of business cycles. The second chapter quantitatively assess the impact of The Brazilian Development Bank on the Brazilian economy, through subsidized credit supply. The third chapter uses a heterogeneous agent model to estimate effects of changes in the Brazilian tax composition on development and welfare.
Essa tese é composta por três ensaios cujo elemento em comum é a utilização de modelos de agentes heterogêneos com empreendedorismo. O primeiro capítulo adiciona incerteza agregada em um modelo de agentes heterogêneos com empreendedorismo e fricções financeiras, com o intuito de avaliar os efeitos de bem-estar dos ciclos de negócios. O segundo capítulo mensura os impactos do BNDES na economia Brasileira, através da oferta de crédito subsidiado. O terceiro capítulo utiliza um modelo de agentes heterogêneos para estimar os efeitos da composição tarifária no Brasil sobre o desenvolvimento e bem-estar.
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Sheik, Rahim Fazeer. « Essays on income distribution and heterogeneous agent models ». Thesis, University of Birmingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423886.

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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 and a model with non-zero economic profits due to the presence of productive public investment. We find that the optimal policy in these two models results in a different labour wedge which defines the gap between the marginal rate of substitution between labour and consumption and the marginal product of labour. In particular, the labour wedge can only be completely eliminated when the profits are absent from the model. It is further demonstrated that there exists a trade-off between efficiency and equity for the government in the model with non-zero economic profits. Chapter 2 examines the importance of imperfect competition in labour and product markets in determining the welfare effects of tax reforms assuming agent heterogeneity in capital holdings. The analysis shows that each of these market distortions, independently, results in welfare losses for at least one segment of the population after a capital tax cut and a concurrent labour tax increase. However, with both present in the model, the tax reform is Pareto improving in a realistic calibration to the UK economy. Chapter 3 extends a Mortensen-Pissarides search-and-matching framework with household heterogeneity to investigate the importance of search frictions in determining the welfare and distributional effects of tax reforms which re-allocate the tax burden from capital to labour income. The optimal tax policy under commitment is also analysed. We find that the tax reforms are Pareto improving in the long run, despite welfare losses for at least one segment of the population in the transition period. Finally, the long-run Ramsey policy implies a negative capital tax which is associated with a rise in the labour tax and a fall in the unemployment benefit.
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ARREY-MBI, PASCAL EBOT. « VOLATILITY CLUSTERING USING A HETEROGENEOUS AGENT-BASED MODEL ». Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-24587.

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Volatility clustering is a stylized fact common in nance. Large changes in prices tend to cluster whereas small changes behave likewise. The higher the volatility of a market, the more risky it is said to be and vice versa . Below, we study volatility clustering using an agent-based model. This model looks at the reaction of agents as a result of the variation of asset prices. This is due to the irregular switching of agents between fundamentalist and chartist behaviors generating a time varying volatility. Switching depends on the performances of the various strategies. The expectations of the excess returns of the agents (fundamentalists and chartists) are heterogenous.
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Livres sur le sujet "Heterogeneous Agents Models"

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Brücker, Herbert. International migration with heterogeneous agents : Theory and evidence. Bonn, Germany : IZA, 2006.

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Rudd, Murray. How accurate are dichotomous choice contingent valuation welfare measures when agents have heterogeneous preferences ? Edmonton, Alta : Sustainable Forest Management Network, 1998.

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Bredemeier, Christian. Household labor supply and home services in a general-equilibrium model with heterogeneous agents. Essen, Germany : Ruhr Graduate School in Economics, 2009.

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Bredemeier, Christian. Household labor supply and home services in a general-equilibrium model with heterogeneous agents. Essen, Germany : Ruhr Graduate School in Economics, 2009.

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Heckman, James J. Explaining rising wage inequality : Explorations with a dynamic general equilibrium model of labor earnings with heterogeneous agents. Cambridge, MA : National Bureau of Economic Research, 1998.

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Müller, Matthias. An Agent-Based Model of Heterogeneous Demand. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18722-4.

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Benabou, Roland. Tax and education policy in a heterogeneous agent economy : What levels of redistribution maximize growth and efficiency ? Cambridge, MA : National Bureau of Economic Research, 1999.

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Varra, Lucia, dir. Dal dato diffuso alla conoscenza condivisa. Florence : Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-177-5.

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At the present time, the tourist destination offers a stimulating laboratory for the experimentation of theoretical models and good practices on the subjects of governance, knowledge management and sustainable competition. Growing interest in the study of this territorial context gains impetus from the new approaches and tools that local administrations are starting to introduce in the phases of implementation and control of local strategies. In this respect, the Tourist Destination Observatory (OTD) represents an important innovation, offering a nerve centre for the aggregation and networking of heterogeneous data scattered over the territory as well as a model for the implementation of permanent approaches to social dialogue as prerequisites for the creation of knowledge and for an aware, shared, competitive and responsible development of the destination. The OTD can act as an efficient agent of local change, facilitating the processes of governance, and as a tool of knowledge management for the valorisation of intellectual capital. It is consequently a crucial support for the strategic repositioning of mountain resorts, which can represent valid responses to the emerging new modes of interpreting the holiday.
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Babina, Ol'ga. Theory, methodology and practice of regional strategic planning. ru : INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1738755.

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In the monograph, the region is presented as a complex, multilevel socio-economic system consisting of many heterogeneous, interacting economic entities of different levels (economic agents and markets, management, resources and economic processes), jointly organizing reproduction processes embedded in the economic space of the national economy on the local territory. Currently, the role of rational management of the socio-economic development of the region is increasing. In such conditions, it is advisable to use strategic planning, which, in turn, has increasingly been carried out using a simulation model. The simulation model in regional strategic planning allows government agencies to predict their activities in the presence of various controlled and uncontrolled factors of the external and internal environment. In this study, the list of principles of strategic planning focused on the processes of strategic planning of the region using the method of simulation modeling is supplemented. A methodology for organizing strategic planning processes at the meso-level using simulation modeling technology is proposed. For a wide range of readers interested in the problems of regional strategic planning.
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Corsi, Daniele, et Cèlia Nadal Pasqual. Studi Iberici. Dialoghi dall’Italia. Venice : Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-505-6.

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Iberian Studies have developed in the last quarter of a century to the point of making one speak of a real Iberian Turn. Starting from the rejection of the classic scheme that places the two states (Portugal and Spain) as privileged agents of the representation of the Iberian space, the proposal of the Iberian Studies is to work on the system of historical exchanges and interferences that have shaped the cultural fabric of the peninsula, investigating both the points of connection as much as those of the fracture between its different realities (such as the Basque, Catalan and Galician ones, as well as the Castilian and Lusitanian ones). Accompanied by a “Reasoned Bibliography on Iberian Studies and Iberian Studies from Italy”, this volume examines the state of the art, with particular attention to the Italian context, in which these researches show a still unequal rooting and diffusion. A first section, dedicated to a general framework of the discipline and the exposition of theoretical issues and method problems, is followed by a second that presents critical contributions that address individual case studies. Born in part as a reaction to the so-called “crisis of Hispanism”, Iberian Studies offer themselves as an alternative to the traditional model of peninsular Hispanism, to its uninational and monolingual paradigm. They also place the emphasis on diversity and the relational aspect, looking with suspicion at every hegemonic design aimed at establishing a “centre” within a heterogeneous cultural landscape. Attentive to the phenomena of immigration and linguistic minorities, to the colonial past and relations with the Latin American world, but also to the themes of comparativism, translation, theory and the rethinking of criticism, Iberian Studies are a field in which not only debates about literature and the arts are included, but also about ideology.
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Chapitres de livres sur le sujet "Heterogeneous Agents Models"

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Marsili, Matteo. « Toy Models of Markets with Heterogeneous Interacting Agents ». Dans Lecture Notes in Economics and Mathematical Systems, 161–82. Berlin, Heidelberg : Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56472-7_11.

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Tramontana, Fabio. « Dynamic Models of Financial Markets with Heterogeneous Agents ». Dans Qualitative Theory of Dynamical Systems, Tools and Applications for Economic Modelling, 291–304. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33276-5_6.

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Müller, Matthias. « Networks of Heterogeneous Agents ». Dans An Agent-Based Model of Heterogeneous Demand, 105–42. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18722-4_5.

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Bloodsworth, Peter, Sue Greenwood et John Nealon. « A Generic Model for Distributed Real-Time Scheduling Based on Dynamic Heterogeneous Data ». Dans Intelligent Agents and Multi-Agent Systems, 110–21. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39896-7_10.

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Płatkowski, T., et M. Ramsza. « A Model of Distributed Markets with Heterogeneous Agents ». Dans Lecture Notes in Economics and Mathematical Systems, 75–88. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55651-7_5.

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Bade, Dirk, Lars Braubach, Alexander Pokahr et Winfried Lamersdorf. « An Awareness Model for Agents in Heterogeneous Environments ». Dans Lecture Notes in Computer Science, 152–67. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03278-3_10.

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Müller, Matthias. « The New Agent-Based Paradigm in Economics ». Dans An Agent-Based Model of Heterogeneous Demand, 57–73. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18722-4_3.

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Kaizoji, Taisei. « Speculative Dynamics in a Heterogeneous-Agent Model ». Dans Artificial Neural Networks — ICANN 2001, 775–81. Berlin, Heidelberg : Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44668-0_108.

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Müller, Matthias. « Introduction ». Dans An Agent-Based Model of Heterogeneous Demand, 21–31. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18722-4_1.

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Müller, Matthias. « The Role of Consumers in Innovation Economics ». Dans An Agent-Based Model of Heterogeneous Demand, 33–55. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18722-4_2.

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Actes de conférences sur le sujet "Heterogeneous Agents Models"

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Wang, Shilong, Jian Yi, Xia Hong et Z. Zhang. « Heterogeneous Autonomous Agent Architecture for Agile Manufacturing ». Dans ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34397.

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Considering the agent-based modeling and mapping in manufacturing system, some system models are described in this paper, which are included: Domain Based Hierarchical Structure (DBHS), Cascading Agent Structure (CAS), Proximity Relation structure (PRS), and Bus-based network structure (BNS). In DBHS, one sort of agents, called static agents, individually acts as Domain Agents, Resources Agents, UserInterface Agents and Gateway Agents. And the others, named mobile agents, are the brokers of task and process flow. Static agents representing a subsystem may itself be an agent-based network and should learn as the mobile agents to deal with new situation. Mobile agents move around the network domains taking advantage of the resources to fulfill their goals. In CAS, We use Unified Modeling Language (UML) to build up the agent-based manufacturing system It is said Enterprise agent (main agent) has factory agents together with some directly jurisdictional workshop agents, cell agents, and individual resource agents. Likewise, factory agent has workshop agents together with some directly jurisdictional cell agents and individual resource agents, and so on. In PRS, the resources agents are located together by its function and abilities. There is only one agent behaves as the task-announcer. The communication just occurs among the Proximity Relational agents. In BNS, It is very similar with the society of human being connected with a network, some agents, such as ‘cost calculating’, are just cope with the matter-of-fact job. And some agents run as the individual resources that can negotiate with each other and advertise a necessary message within the whole domain or a given group of agents. The administration just relies on the individual address of agents and the group ID code of agents.
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Bullinger, Martin, Pascal Lenzner et Anna Melnichenko. « Network Creation with Homophilic Agents ». Dans Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California : International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/22.

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Network Creation Games are an important framework for understanding the formation of real-world networks. These games usually assume a set of indistinguishable agents strategically buying edges at a uniform price leading to a network among them. However, in real life, agents are heterogeneous and their relationships often display a bias towards similar agents, say of the same ethnic group. This homophilic behavior on the agent level can then lead to the emergent global phenomenon of social segregation. We study Network Creation Games with multiple types of homophilic agents and non-uniform edge cost, introducing two models focusing on the perception of same-type and different-type neighboring agents, respectively. Despite their different initial conditions, both our theoretical and experimental analysis show that both the composition and segregation strength of the resulting stable networks are almost identical, indicating a robust structure of social networks under homophily.
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Zia, Asim, Michael Widener, Sara Metcalf et Christopher Koliba. « Modeling Voting Decisions in Governance Networks for Agents with Heterogeneous Mental Models and Alternate Network Structures ». Dans CSS 2017 : CSSSA's Annual Conference on Computational Social Science. New York, NY, USA : ACM, 2017. http://dx.doi.org/10.1145/3145574.3145592.

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Pishko, Gregory L., Garrett W. Astary, Thomas H. Mareci et Malisa Sarntinoranont. « A Computational Model of Interstitial Transport in Murine Sarcoma With Heterogeneous Vasculature : A Sensitivity Analysis ». Dans ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206746.

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Extravasation of large therapeutic agents into tumor tissue following systemic injection is marked by heterogeneous distribution. Factors that contribute to this phenomenon include high interstitial fluid pressure (IFP) and non-uniform vascular permeability; they have been shown to be major obstacles delivery of macromolecules clinically [1]. Until recently, blood flow in a single vessel or capillary networks with variations in space and time has been explored using computational tumor models [2]. These studies do not account for heterogeneous tissue transport properties in regions of leakier vessels [3].
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Arevalo-Castiblanco, Miguel, Cesar Uribe et Eduardo Mojica-Nava. « Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization ». Dans LatinX in AI at International Conference on Machine Learning 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/202107242.

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We propose an online adaptive synchronization method for leader-follower networks of heterogeneous agents. Synchronization is achieved using a distributed Model Reference Adaptive Control (DMRAC-RL) that enables the improved performance of Reinforcement Learning (RL)-trained policies on a reference model. The leader observes the performance of the reference model, and the followers observe the states and actions of the agents they are connected to, but not the reference model. Notably, both the leader and followers models might differ from the reference model the RL-control policy was trained. DMRAC-RL uses an internal loop that adjusts the learned policy for the agents in the form of an augmented input to solve the distributed control problem. Numerical examples of the synchronization of a network of inverted pendulums support our theoretical findings.
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Arevalo-Castiblanco, Miguel, Cesar Uribe et Eduardo Mojica-Nava. « Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization ». Dans LatinX in AI at International Conference on Machine Learning 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai202107242.

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We propose an online adaptive synchronization method for leader follower networks of heterogeneous agents. Synchronization is achieved using a distributed Model Reference Adaptive Control (DMRAC-RL) that enables the improved performance of Reinforcement Learning (RL)-trained policies on a reference model. The leader observes the performance of the reference model, and the followers observe the states and actions of the agents they are connected to, but not the reference model. Notably, both the leader and followers models might differ from the reference model the RL-control policy was trained. DMRAC-RL uses an internal loop that adjusts the learned policy for the agents in the form of an augmented input to solve the distributed control problem. Numerical examples of the synchronization of a network of inverted pendulums support our theoretical findings
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Laurent, Jonathan, Jean Yang et Walter Fontana. « Counterfactual Resimulation for Causal Analysis of Rule-Based Models ». Dans Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California : International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/260.

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Models based on rules that express local and heterogeneous mechanisms of stochastic interactions between structured agents are an important tool for investigating the dynamical behavior of complex systems, especially in molecular biology. Given a simulated trace of events, the challenge is to construct a causal diagram that explains how a phenomenon of interest occurred. Counterfactual analysis can provide distinctive insights, but its standard definition is not applicable in rule-based models because they are not readily expressible in terms of structural equations. We provide a semantics of counterfactual statements that addresses this challenge by sampling counterfactual trajectories that are probabilistically as close to the factual trace as a given intervention permits them to be. We then show how counterfactual dependencies give rise to explanations in terms of relations of enablement and prevention between events.
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Yuan, Chengzhi, Fen Wu et Chang Duan. « Cooperative Output Regulation of Multi-Agent Systems With Switched Leader Dynamics via Smooth Switching ». Dans ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5055.

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This paper deals with the leader-following cooperative output regulation problem for heterogeneous multi-agent systems by considering a switched leader dynamics. The switched leader dynamics is composed by multiple linear models and a switching rule governing the switches among them, which is capable of generating more diverse and sophisticated reference signals so as to enhance the multi-agent system’s capability in coping with more complicated coordination tasks. A novel distributed switching control scheme, namely, the smooth switching control strategy, is proposed to achieve cooperative output regulation performance. Distributed switching stability of the overall network is established using multiple Lyapunov functions from the switching control theory. Moreover, under the proposed design framework, the overall cooperative switching output regulation problem can be decomposed into several independent switching stabilization subproblems, and the associated switching control synthesis conditions for each subproblems are formulated as a set of linear matrix inequalities (LMIs) plus linear algebraic equations. As a result, stabilizing switching rules for the leader and distributed switching protocols for the follower agents can be jointly synthesized via semi-definite programming. A numerical example has been used to demonstrate the effectiveness of the proposed approach.
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Pishko, Gregory L., Garrett W. Astary, Thomas H. Mareci et Malisa Sarntinoranont. « High Resolution DCE-MRI Vascular Characterization of Murine Sarcoma and Human Renal Cell Carcinoma for Computational Modeling ». Dans ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-193179.

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Non-uniform extravasation from blood vessels, elevated interstitial fluid pressure (IFP), and transport by bulk fluid motion in the extracellular space have all been determined to contribute to the non-uniform tissue distribution of systemically delivered agents in solid tumors. The aforementioned factors can lead to inadequate and uneven uptake in tumor tissue which has been shown to be a major obstacle to macromolecules in clinical cancer therapy [1]. Recently developed computational tumor models have described blood flow either in a single vessel or capillary network with variations in space and time [2]. These studies do not account for heterogeneous tissue transport properties in regions of leakier vessels [3].
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Carano, Elena L., Shih-Yuan Liu et J. Karl Hedrick. « Applying the Gale-Shapley Stable Matching Algorithm to Peer Human-Robot Task Allocation ». Dans ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-5953.

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When human and robotic agents work together, the challenge in assigning tasks lies in exploiting human strengths, such as expertise and intuition, while still managing the heterogeneous agent team in a near-optimal way. An extension to the Gale-Shapley stable matching algorithm that combines a sequential greedy approach is proposed to apply to task allocation missions. Conventional task features are modeled in the form of task preferences; agent inputs are modeled in the form of agent preferences. The algorithm is applied to a bomb defusal scenario, where bomb location is known but time for each agent to defuse each bomb is supplied through agent preferences. Simulation results are presented, and the sequential greedy Gale-Shapley algorithm is compared to a corresponding sequential single-item auction algorithm under three evaluation criteria — mission completion time, agent-task pair regret, and evenness of task distribution among agents.
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Rapports d'organisations sur le sujet "Heterogeneous Agents Models"

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Kase, Hanno, Leonardo Melosi et Matthias Rottner. Estimating Nonlinear Heterogeneous Agents Models with Neural Networks. Federal Reserve Bank of Chicago, 2022. http://dx.doi.org/10.21033/wp-2022-26.

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Allen, Treb, Costas Arkolakis et Xiangliang Li. On the Equilibrium Properties of Network Models with Heterogeneous Agents. Cambridge, MA : National Bureau of Economic Research, septembre 2020. http://dx.doi.org/10.3386/w27837.

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Peralta-Alva, Adrian, et 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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Bonhomme, Stéphane, et Manuel Arellano. Nonlinear panel data methods for dynamic heterogeneous agent models. The IFS, novembre 2016. http://dx.doi.org/10.1920/wp.cem.2016.5116.

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Kaplan, Greg, et Giovanni Violante. The Marginal Propensity to Consume in Heterogeneous Agent Models. Cambridge, MA : National Bureau of Economic Research, mai 2022. http://dx.doi.org/10.3386/w30013.

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Pedemonte, Mathieu O., Hiroshi Toma et Esteban Verdugo. Aggregate implications of heterogeneous inflation expectations : the role of individual experience. Federal Reserve Bank of Cleveland, janvier 2023. http://dx.doi.org/10.26509/frbc-wp-202304.

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We show that inflation expectations are heterogeneous and depend on past individual experiences. We propose a diagnostic expectations-augmented Kalman filter to represent consumers’ heterogeneous inflation expectations-formation process, where heterogeneity comes from an anchoring-to-the-past mechanism. We estimate the diagnosticity parameter that governs the inflation expectations-formation process and show that the model can replicate systematic differences in inflation expectations across cohorts in the US. We introduce this mechanism into a New Keynesian model and find that heterogeneous expectations anchor aggregate responses to the agents’ memory, making shocks more persistent. Central banks should be more active to prevent agents from remembering current shocks far into the future.
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Kocherlakota, Narayana. Public Debt Bubbles in Heterogeneous Agent Models with Tail Risk. Cambridge, MA : National Bureau of Economic Research, août 2021. http://dx.doi.org/10.3386/w29138.

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Kogan, Leonid, et Indrajit Mitra. Near-Rational Equilibria in Heterogeneous-Agent Models : A Verification Method. Cambridge, MA : National Bureau of Economic Research, juin 2022. http://dx.doi.org/10.3386/w30111.

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Veracierto, Marcelo. Computing Equilibria of Stochastic Heterogeneous Agent Models Using Decision Rule Histories. Federal Reserve Bank of Chicago, 2020. http://dx.doi.org/10.21033/wp-2020-05.

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Auclert, Adrien, Bence Bardóczy, Matthew Rognlie et Ludwig Straub. Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models. Cambridge, MA : National Bureau of Economic Research, juillet 2019. http://dx.doi.org/10.3386/w26123.

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