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The impact of agent-based models in the social sciences after 15 years of incursions
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Cited by:
- Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.
- Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, July.
- Elsenbroich, Corinna & Payette, Nicolas, 2020. "Choosing to cooperate: Modelling public goods games with team reasoning," Journal of choice modelling, Elsevier, vol. 34(C).
- John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
- Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018.
"Agent-based model calibration using machine learning surrogates,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 90(C), pages 366-389.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2018. "Agent-based model calibration using machine learning surrogates," Sciences Po publications info:hdl:2441/13thfd12aa8, Sciences Po.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
- Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Sophia R. Thomas & S. R. Aurora, 2024. "The dynamic effects of transformational leadership on employee retention and employability over time: an agent-based model," Computational and Mathematical Organization Theory, Springer, vol. 30(4), pages 350-380, December.
- repec:hal:spmain:info:hdl:2441/13thfd12aa8rmplfudlgvgahff is not listed on IDEAS
- Andriamasinoro, Fenintsoa & Angel, Jean-Michel, 2012. "Artisanal and small-scale gold mining in Burkina Faso: Suggestion of multi-agent methodology as a complementary support in elaborating a policy," Resources Policy, Elsevier, vol. 37(3), pages 385-396.
- Luca Grilli & Domenico Santoro, 2022. "Forecasting financial time series with Boltzmann entropy through neural networks," Computational Management Science, Springer, vol. 19(4), pages 665-681, October.
- Ozge Dilaver, 2015. "From Participants to Agents: Grounded Simulation as a Mixed-Method Research Design," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-15.
- repec:hal:spmain:info:hdl:2441/20hflp7eqn97boh50no50tv67n is not listed on IDEAS
- Massari, Giovanni Francesco & Giannoccaro, Ilaria, 2021. "Investigating the effect of horizontal coopetition on supply chain resilience in complex and turbulent environments," International Journal of Production Economics, Elsevier, vol. 237(C).
- Nadine Hoser, 2013. "Public funding in the academic field of nanotechnology: a multi-agent based model," Computational and Mathematical Organization Theory, Springer, vol. 19(2), pages 253-281, June.
- Daniel Silver & Ultan Byrne & Patrick Adler, 2021. "Venues and segregation: A revised Schelling model," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-35, January.
- Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018.
"Agent-based model calibration using machine learning surrogates,"
Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
- Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
- Michail Kovanis & Raphaël Porcher & Philippe Ravaud & Ludovic Trinquart, 2016. "Complex systems approach to scientific publication and peer-review system: development of an agent-based model calibrated with empirical journal data," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 695-715, February.
- Leonardo Augusto Amaral Terra & João Luiz Passador, 2018. "Strategies for the Study of Complex Socio-Economic Systems: an Approach Using Agent-Based Simulation," Systemic Practice and Action Research, Springer, vol. 31(3), pages 311-325, June.
- Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
- Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
- Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
- Thiele, Jan C, 2014. "R Marries NetLogo: Introduction to the RNetLogo Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i02).
- Katsuma Mitsutsuji & Susumu Yamakage, 2020. "The dual attitudinal dynamics of public opinion: an agent-based reformulation of L. F. Richardson’s war-moods model," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 439-461, April.
- Ulisses L. Morais & Adelino M. G. Fortunato & Ernesto J. F. Costa, 2016. "New-Issues Markets as behavioral barriers to entry: an agent-based model of choices and market structure," GEMF Working Papers 2016-07, GEMF, Faculty of Economics, University of Coimbra.
- Bertacchini, Enrico & Grazzini, Jakob & Vallino, Elena, 2013. "Emergence and Evolution of Property Rights: an Agent Based Perspective," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201340, University of Turin.
- Krumm, Alexandra & Süsser, Diana & Blechinger, Philipp, 2022. "Modelling social aspects of the energy transition: What is the current representation of social factors in energy models?," Energy, Elsevier, vol. 239(PA).
- Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.