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Introduction to the special issue on agent-based computational economics

Citations

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Cited by:

  1. Rodolphe Buda, 2007. "Propositions for the Building of a Quantitative Austrian Modelling: An Answer to Prof. Rizzo and to Prof. Vriend," Working Papers hal-04139234, HAL.
  2. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
  3. Ad. J. W. van de Gevel & Charles N. Noussair, 2013. "The Nexus between Artificial Intelligence and Economics," SpringerBriefs in Economics, Springer, edition 127, number 978-3-642-33648-5, October.
  4. Christopher Boyer & B. Brorsen & Tong Zhang, 2014. "Common-value auction versus posted-price selling: an agent-based model approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 129-149, April.
  5. Almas Heshmati & Flávio Lenz-Cesar, 2015. "Policy simulation of firms’ cooperation in innovation," Research Evaluation, Oxford University Press, vol. 24(3), pages 293-311.
  6. Lee, Kangil & Han, Taek-Whan, 2016. "How vulnerable is the emissions market to transaction costs?: An ABMS Approach," Energy Policy, Elsevier, vol. 90(C), pages 273-286.
  7. Tongkui, Yu & Shu-Heng, Chen & Honggang, Li, 2011. "Social Norm, Costly Punishment and the Evolution to Cooperation," MPRA Paper 28741, University Library of Munich, Germany.
  8. Fiore, Annamaria, 2009. "Experimental Economics: Some Methodological Notes," MPRA Paper 12498, University Library of Munich, Germany.
  9. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 355-370, November.
  10. Keiki Takadama & Takao Terano & Katsunori Shimohara, 2003. "Interpretation by Implementation for Understanding a Multiagent Organization," Computational and Mathematical Organization Theory, Springer, vol. 9(1), pages 19-35, May.
  11. McArthur, David & Thorsen, Inge & Ubøe, Jan, 2008. "An agent-based computational approach to explaining persistent spatial unemployment disparities," Discussion Papers 2008/17, Norwegian School of Economics, Department of Business and Management Science.
  12. Mattheos K. Protopapas & Elias B. Kosmatopoulos, 2009. "Simulation and Use of Heuristics for Peripheral Economic Policy," Papers 0905.3808, arXiv.org.
  13. Pyo, Dong-Jin, 2014. "A Multi-Factor Model of Heterogeneous Traders in a Dynamic Stock Market," Staff General Research Papers Archive 37358, Iowa State University, Department of Economics.
  14. 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.
  15. Steven Manson & David O'Sullivan, 2006. "Complexity Theory in the Study of Space and Place," Environment and Planning A, , vol. 38(4), pages 677-692, April.
  16. Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
  17. Brorsen B. Wade & Fain James R. & Maples Joshua G., 2018. "Alternative Policy Responses to Increased Use of Formula Pricing," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-11, January.
  18. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
  19. Alexandru Mandes & Peter Winker, 2017. "Complexity and model comparison in agent based modeling of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 469-506, October.
  20. Alexander Smajgl, 2007. "Modelling evolving rules for the use of common-pool resources in an agent-based model," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 56-80.
  21. Christian Martin & Michael Neugart, 2009. "Shocks and Endogenous Institutions: An Agent-based Model of Labor Market Performance in Turbulent Times," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 31-46, February.
  22. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
  23. Alexander Smajgl, 2004. "Modelling the effect of learning and evolving rules on the use of common-pool resources," Computing in Economics and Finance 2004 178, Society for Computational Economics.
  24. Alessandro Perrone & Gianluigi Ferraris, 2004. "Intelligent Versus Random Beavers—an Agent‐Based Approach in Facing the Busy Beaver Problem," Metroeconomica, Wiley Blackwell, vol. 55(2‐3), pages 332-344, May.
  25. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
  26. Ibrahim Ari & Muammer Koc, 2019. "Sustainable Financing for Sustainable Development: Agent-Based Modeling of Alternative Financing Models for Clean Energy Investments," Sustainability, MDPI, vol. 11(7), pages 1-34, April.
  27. Ke-Hung Lai & Shu-Heng Chen & Ya-Chi Huang, 2005. "Bounded Rationality and the Elasticity Puzzle: What Can We Learn from the Agent-Based Computational Consumption Capital Asset Pricing Model?," Computing in Economics and Finance 2005 207, Society for Computational Economics.
  28. Cai, Ning & Ma, Hai-Ying & Khan, M. Junaid, 2015. "Agent-based model for rural–urban migration: A dynamic consideration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 806-813.
  29. Christopher N. Boyer & B. Wade Brorsen & James R. Fain, 2015. "Private‐Value Auction Versus Posted‐Price Selling: An Agent‐Based Model Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(4), pages 249-262, October.
  30. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
  31. Ausloos, Marcel & Jovanovic, Franck & Schinckus, Christophe, 2016. "On the “usual” misunderstandings between econophysics and finance: Some clarifications on modelling approaches and efficient market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 7-14.
  32. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
  33. Cyril Schoreels & Jonathan M. Garibaldi, 2006. "Comparative study of central decision makers versus groups of evolved agents trading in equity markets," Computing in Economics and Finance 2006 410, Society for Computational Economics.
  34. Li, Yan & Ye, Hang, 2018. "Effect of the migration mechanism based on risk preference on the evolution of cooperation," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 621-632.
  35. Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
  36. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
  37. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  38. Megyeri, Krisztina, 2001. "A pénz mint általános csereeszköz modellezése [Modelling money as a general medium of exchange]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 307-319.
  39. Lijian Wei & Wei Zhang & Xiong Xiong & Yu Zhao, 2014. "A Multi‐agent System for Policy Design of Tick Size in Stock Index Futures Markets," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 512-526, July.
  40. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.
  41. De Grauwe, Paul & Ji, Yuemei, 2020. "Structural reforms, animal spirits, and monetary policies," European Economic Review, Elsevier, vol. 124(C).
  42. McArthur, D.P. & Thorsen, I. & Ubøe, J., 2012. "Labour market effects in assessing the costs and benefits of road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 310-321.
  43. Tommaso Ciarli & Andre' Lorentz & Maria Savona & Marco Valente, 2012. "The role of technology, organisation, and demand in growth and income distribution," LEM Papers Series 2012/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  44. Happe, Kathrin, 2004. "Agricultural policies and farm structures: Agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 30, number 14945.
  45. Kathrin Happe, 2005. "Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform," Others 0504011, University Library of Munich, Germany.
  46. McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2009. "Congested Interregional Infrastructure, Road Pricing and Regional Labour Markets," Discussion Papers 2009/3, Norwegian School of Economics, Department of Business and Management Science.
  47. Christopher Boyer & B. Brorsen, 2014. "Implications of a Reserve Price in an Agent-Based Common-Value Auction," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 33-51, January.
  48. 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.
  49. Koye Somefun, 2001. "Posted Offer versus Bargaining: An Example of how Institutions can Facilitate Learning," Computing in Economics and Finance 2001 79, Society for Computational Economics.
  50. 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.
  51. Denis Becker & Alexei Gaivoronski, 2014. "Stochastic optimization on social networks with application to service pricing," Computational Management Science, Springer, vol. 11(4), pages 531-562, October.
  52. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
  53. Anthony Patt & Bernd Siebenhüner, 2005. "Agent Based Modeling and Adaption to Climate Change," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 74(2), pages 310-320.
  54. Egan, Malcolm & Jakob, Michal, 2016. "Market mechanism design for profitable on-demand transport services," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 178-195.
  55. Voudouris, Vlasios & Matsumoto, Ken'ichi & Sedgwick, John & Rigby, Robert & Stasinopoulos, Dimitrios & Jefferson, Michael, 2014. "Exploring the production of natural gas through the lenses of the ACEGES model," Energy Policy, Elsevier, vol. 64(C), pages 124-133.
  56. Chao Bi & Jingjing Zeng & Wanli Zhang & Yonglin Wen, 2020. "Modelling the Coevolution of the Fuel Ethanol Industry, Technology System, and Market System in China: A History-Friendly Model," Energies, MDPI, vol. 13(5), pages 1-26, February.
  57. Havran, Dániel, 2008. "Pénzgazdálkodási szokások hatása a működőtőkére. A Magyar Posta példája [The effect of financial management habits on operating capital. The example of the Hungarian Post Office]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 907-926.
  58. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
  59. Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute of Labor Economics (IZA).
  60. Boer-Sorban, K. & de Bruin, A. & Kaymak, U., 2005. "On the Design of Artificial Stock Markets," ERIM Report Series Research in Management ERS-2005-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  61. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).
  62. Schmidt, Andreas U., 2006. "Multi-level markets and incentives for information goods," Information Economics and Policy, Elsevier, vol. 18(2), pages 125-138, June.
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