IDEAS home Printed from https://ideas.repec.org/r/jas/jasssj/2008-77-2.html
   My bibliography  Save this item

A Survey of Agent-Based Modeling Practices (January 1998 to July 2008)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Hassani-Mahmooei, Behrooz & Parris, Brett W., 2013. "Resource scarcity, effort allocation and environmental security: An agent-based theoretical approach," Economic Modelling, Elsevier, vol. 30(C), pages 183-192.
  2. Ngo-Hoang, Dai-Long, 2019. "A research paper of Hossein Sabzian (2019), Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners, ArXiv, 54p," AgriXiv xutyz, Center for Open Science.
  3. Fabian Lorig & Emil Johansson & Paul Davidsson, 2021. "Agent-Based Social Simulation of the Covid-19 Pandemic: A Systematic Review," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(3), pages 1-5.
  4. Toby Pilditch & Jens Koed Madsen, 2021. "Targeting Your Preferences: Modelling Micro-Targeting for an Increasingly Diverse Electorate," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(1), pages 1-5.
  5. Stef Janssen & Alexei Sharpanskykh & Richard Curran, 2019. "AbSRiM: An Agent‐Based Security Risk Management Approach for Airport Operations," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1582-1596, July.
  6. Vincze, János & Varga, Gergely, 2016. "Megtakarítási típusok - egy adaptív-evolúciós megközelítés [Types of saving - an adaptive-evolutionary approach]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 162-187.
  7. Rolf Barth & Matthias Meyer & Jan Spitzner, 2012. "Typical Pitfalls of Simulation Modeling - Lessons Learned from Armed Forces and Business," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-5.
  8. Valaei Sharif, Shahab & Habibi Moshfegh, Peyman & Kashani, Hamed, 2023. "Simulation modeling of operation and coordination of agencies involved in post-disaster response and recovery," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
  9. Ninghua Wang & Lin Liu & John E Eck, 2014. "Analyzing Crime Displacement with a Simulation Approach," Environment and Planning B, , vol. 41(2), pages 359-374, April.
  10. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
  11. Enda O’Connell, 2017. "Towards Adaptation of Water Resource Systems to Climatic and Socio-Economic Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2965-2984, August.
  12. Bert, Federico E. & Rovere, Santiago L. & Macal, Charles M. & North, Michael J. & Podestá, Guillermo P., 2014. "Lessons from a comprehensive validation of an agent based-model: The experience of the Pampas Model of Argentinean agricultural systems," Ecological Modelling, Elsevier, vol. 273(C), pages 284-298.
  13. Roman Šperka, 2015. "Simulation Methods Comparison in Business Process Domain," Working Papers 0019, Silesian University, School of Business Administration.
  14. Hassani Mahmooei, Behrooz & Parris, Brett, 2012. "Why might climate change not cause conflict? an agent-based computational response," MPRA Paper 44918, University Library of Munich, Germany.
  15. Léa Kaufmann & Ranaivo Razakanirina & Derek Groen & Bastien Chopard, 2018. "Impact of immigrants on a multi-agent economical system," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-16, May.
  16. Utomo, Dhanan Sarwo & Onggo, Bhakti Stephan & Eldridge, Stephen, 2018. "Applications of agent-based modelling and simulation in the agri-food supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 794-805.
  17. Wu, Haizhen & Han, Zhao'an & Zhou, Yong, 2021. "Optimal degree of openness in open innovation: A perspective from knowledge acquisition & knowledge leakage," Technology in Society, Elsevier, vol. 67(C).
  18. Cathérine Grisar & Matthias Meyer, 2016. "Use of simulation in controlling research: a systematic literature review for German-speaking countries," Management Review Quarterly, Springer, vol. 66(2), pages 117-157, April.
  19. Dehua Gao & Aliakbar Akbaritabar, 2022. "Using agent-based modeling in routine dynamics research: a quantitative and content analysis of literature," Review of Managerial Science, Springer, vol. 16(2), pages 521-550, February.
  20. Bert, Federico E. & Podestá, Guillermo P. & Rovere, Santiago L. & Menéndez, Ángel N. & North, Michael & Tatara, Eric & Laciana, Carlos E. & Weber, Elke & Toranzo, Fernando Ruiz, 2011. "An agent based model to simulate structural and land use changes in agricultural systems of the argentine pampas," Ecological Modelling, Elsevier, vol. 222(19), pages 3486-3499.
  21. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
  22. Andreas Deckert & Robert Klein, 2014. "Simulation-based optimization of an agent-based simulation," Netnomics, Springer, vol. 15(1), pages 33-56, July.
  23. Hansen, Mette Sanne & Rasmussen, Lauge Baungaard & Jacobsen, Peter, 2016. "Interactive foresight simulation," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 214-227.
  24. Lu, Peng & Wen, Feier & Li, Yan & Chen, Dianhan, 2021. "Multi-agent modeling of crowd dynamics under mass shooting cases," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
  25. Cristina Ponsiglione & Ivana Quinto & Giuseppe Zollo, 2018. "Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
  26. Viktoria V. Akberdina & Andrey I. Volodin & Roman V. Gubarev & Evgeniy I. Dzyuba & Fanil’ S. Fayzullin, 2020. "Models of public investment management at regional level," Upravlenets, Ural State University of Economics, vol. 11(1), pages 45-56, March.
  27. Jonas Hauke & Sebastian Achter & Matthias Meyer, 2020. "Theory Development Via Replicated Simulations and the Added Value of Standards," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-12.
  28. Onggo, Bhakti Stephan & Karatas, Mumtaz, 2016. "Test-driven simulation modelling: A case study using agent-based maritime search-operation simulation," European Journal of Operational Research, Elsevier, vol. 254(2), pages 517-531.
  29. Wang, Ziyi & Wennersten, Ronald & Sun, Qie, 2017. "Outline of principles for building scenarios – Transition toward more sustainable energy systems," Applied Energy, Elsevier, vol. 185(P2), pages 1890-1898.
  30. Schubring, Sandra & Lorscheid, Iris & Meyer, Matthias & Ringle, Christian M., 2016. "The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation," Journal of Business Research, Elsevier, vol. 69(10), pages 4604-4612.
  31. Calvert, Gareth & Neves, Luis & Andrews, John & Hamer, Matthew, 2020. "Multi-defect modelling of bridge deterioration using truncated inspection records," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
  32. Frank M. A. Klingert & Matthias Meyer, 2018. "Comparing Prediction Market Mechanisms: An Experiment-Based and Micro Validated Multi-Agent Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(1), pages 1-7.
  33. Breig, Roman & Coblenz, Maximilian & Pelz, Michael, 2018. "Enhancing simulation-based theory development in entrepreneurship through statistical validation," Journal of Business Venturing Insights, Elsevier, vol. 9(C), pages 53-59.
  34. Robert Somogyi & Janos Vincze, 2011. "Price Rigidity and Strategic Uncertainty An Agent-based Approach," CERS-IE WORKING PAPERS 1135, Institute of Economics, Centre for Economic and Regional Studies.
  35. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.
  36. Frank M. A. Klingert & Matthias Meyer, 2012. "Effectively combining experimental economics and multi-agent simulation: suggestions for a procedural integration with an example from prediction markets research," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 63-90, March.
  37. Javier Arroyo & Samer Hassan & Celia Gutiérrez & Juan Pavón, 2010. "Re-thinking simulation: a methodological approach for the application of data mining in agent-based modelling," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 416-435, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.