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Citations for "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses"

by Vriend, Nicolaas J.

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  1. Tong Zhang & B. Brorsen, 2009. "Particle Swarm Optimization Algorithm for Agent-Based Artificial Markets," Computational Economics, Society for Computational Economics, vol. 34(4), pages 399-417, November.
  2. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
  3. Murat Yildizoglu & Marc-Alexandre Sénégas & Isabelle Salle & Martin Zumpe, 2011. "Learning the optimal buffer-stock consumption rule of Carroll," Working Papers halshs-00573689, HAL.
  4. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Society for Computational Economics, vol. 28(4), pages 355-370, November.
  5. 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).
  6. Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
  7. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
  8. Murat Yildizoglu, 1999. "Competing R&D Strategies in an Evolutionary Industry Model," Working Papers of BETA 9914, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  9. Jason Barr & Francesco Saraceno, 2004. "Organization, Learning and Cooperation," Computational Economics 0402001, EconWPA.
  10. Widad Guechtouli, 2014. "How do communication structures shape the process of knowledge transfer? An agent-based model," Working Papers 2014-177, Department of Research, Ipag Business School.
  11. Eric Ringhut & Stefan Kooths, 2003. "Modeling Expectations with GENEFER – an Artificial Intelligence Approach," Computational Economics, Society for Computational Economics, vol. 21(1), pages 173-194, February.
  12. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
  13. Graupner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM)
    [Das räumliche agenten-basierte Wettbewerbsmodell SpAbCoM]
    ," IAMO Discussion Papers 135, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
  14. Mago, Shakun & Sheremeta, Roman & Yates, Andrew, 2012. "Best-of-Three Contest Experiments: Strategic versus Psychological Momentum," MPRA Paper 43031, University Library of Munich, Germany.
  15. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2012. "An agent-based "proof of principle" for Walrasian macroeconomic theory," CEEL Working Papers 1202, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
  16. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-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.
  17. Dawid, Herbert, 2007. "Evolutionary game dynamics and the analysis of agent-based imitation models: The long run, the medium run and the importance of global analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2108-2133, June.
  18. Juan Montoro-Pons & Francisco Garcia-Sobrecases, 2003. "A Computational Approach to the Collective Action Problem: Assessment of Alternative Learning Rules," Computational Economics, Society for Computational Economics, vol. 21(1), pages 137-151, February.
  19. Shu-Heng Chen & Chia-Hsuan Yeh, 1999. "Evolving Traders and the Faculty of the Business School: A New Architecture of the Artificial Stock Market," Computing in Economics and Finance 1999 613, Society for Computational Economics.
  20. Mattheos K. Protopapas, 2008. "Determination of sequential best replies in n-player games by Genetic Algorithms," Working Papers 002, COMISEF.
  21. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
  22. Thomas Vallée & Murat Yildizoglu, 2009. "Convergence in the Finite Cournot Oligopoly with Social and Individual Learning," Working Papers halshs-00368274, HAL.
  23. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Society for Computational Economics, vol. 24(3), pages 257-275, March.
  24. Ryuichi YAMAMOTO, 2005. "Evolution with Individual and Social Learning in an Agent-Based Stock Market," Computing in Economics and Finance 2005 228, Society for Computational Economics.
  25. repec:ebl:ecbull:v:4:y:2006:i:29:p:1-8 is not listed on IDEAS
  26. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2001. "Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 363-393, March.
  27. James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, EconWPA.
  28. Georges, Christophre & Wallace, John C., 2009. "Learning Dynamics And Nonlinear Misspecification In An Artificial Financial Market," Macroeconomic Dynamics, Cambridge University Press, vol. 13(05), pages 625-655, November.
  29. Juliette Rouchier, 2013. "The Interest of Having Loyal Buyers in a Perishable Market," Computational Economics, Society for Computational Economics, vol. 41(2), pages 151-170, February.
  30. Hommes, C.H. & Lux, T., 2009. "Individual Expectations and Aggregate Behavior in Learning to Forcast Experiments," CeNDEF Working Papers 09-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  31. Protopapas, M.K. & Kosmatopoulos, E.B. & Battaglia, F., 2009. "Coevolutionary Genetic Algorithms for Establishing Nash Equilibrium in Symmetric Cournot Games," MPRA Paper 15375, University Library of Munich, Germany.
  32. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2007. "The impact of quality uncertainty without asymmetric information on market efficiency," Journal of Business Research, Elsevier, vol. 60(8), pages 858-867, August.
  33. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  34. Colombo, Luca & Labrecciosa, Paola, 2013. "On the convergence to the Cournot equilibrium in a productive asset oligopoly," Journal of Mathematical Economics, Elsevier, vol. 49(6), pages 441-445.
  35. Jie-Shin Lin & Chris Birchenhall, 2000. "Learning And Adaptive Artificial Agents: An Analysis Of Evolutionary Economic Models," Computing in Economics and Finance 2000 327, Society for Computational Economics.
  36. Blake LeBaron & Ryuichi Yamamoto, 2008. "The Impact of Imitation on Long Memory in an Order-Driven Market," Eastern Economic Journal, Palgrave Macmillan, vol. 34(4), pages 504-517.
  37. Mago, Shakun & Samak, Anya & Sheremeta, Roman, 2013. "Facing Your Opponents: Social Identification and Information Feedback in Contests," MPRA Paper 47029, University Library of Munich, Germany.
  38. Thomas VALLEE (LEN - IAE Nantes) & Murat YILDIZOGLU (GREThA), 2007. "Convergence in Finite Cournot Oligopoly with Social and Individual Learning," Cahiers du GREThA 2007-07, Groupe de Recherche en Economie Théorique et Appliquée.
  39. Barr, Jason & Saraceno, Francesco, 2005. "Cournot competition, organization and learning," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 277-295, January.
  40. Thomas Riechmann, 2006. "Mixed motives in a Cournot game," Economics Bulletin, AccessEcon, vol. 4(29), pages 1-8.
  41. Marco Casari, 2003. "Does bounded rationality lead to individual heterogeneity? The impact of the experimentation process and of memory constraints," UFAE and IAE Working Papers 583.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  42. Tong Zhang & B. Brorsen, 2011. "Oligopoly firms with quantity-price strategic decisions," Journal of Economic Interaction and Coordination, Springer, vol. 6(2), pages 157-170, November.
  43. Thomas Vallée & Murat Yildizoglu, 2010. "Can they beat the Cournot equilibrium? Learning with memory and convergence to equilibria in a Cournot oligopoly," Working Papers hal-00526258, HAL.
  44. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011 Elsevier.
  45. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233 Elsevier.
  46. Marco Casari, 2002. "Can genetic algorithms explain experimental anomalies? An application to common property resources," UFAE and IAE Working Papers 542.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  47. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
  48. Narine Udumyan & Juliette Rouchier & Dominique Ami, 2014. "Integration of Path-Dependency in a Simple Learning Model: The Case of Marine Resources," Computational Economics, Society for Computational Economics, vol. 43(2), pages 199-231, February.
  49. Nikolaos Georgantzis & Aurora García Gallego, 2001. "Adaptive Behavior By Single-Product And Multiproduct Price Setting Firms In Experimental Markets," Working Papers. Serie AD 2001-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  50. Kirill Chernomaz, 2014. "Adaptive learning in an asymmetric auction: genetic algorithm approach," Journal of Economic Interaction and Coordination, Springer, vol. 9(1), pages 27-51, April.
  51. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
  52. Robert E. Marks, 2013. "Validation and Functional Complexity," Discussion Papers 2013-30, School of Economics, The University of New South Wales.
  53. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
  54. Jasmina Arifovic & Michael Maschek, 2006. "Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect," Computational Economics, Society for Computational Economics, vol. 28(4), pages 333-354, November.
  55. Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  56. Jaqueson K. Galimberti & Sergio da Silva, 2012. "An empirical case against the use of genetic-based learning classifier systems as forecasting devices," Economics Bulletin, AccessEcon, vol. 32(1), pages 354-369.
  57. Zhang, Tong & Brorsen, B. Wade, 2008. "Price Competition with Particle Swarm Optimization: An Agent-Based Artificial Model," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6780, Southern Agricultural Economics Association.
  58. Alfons Balmann, 2013. "R. Ford Denison: Darwinian agriculture—how understanding evolution can improve agriculture," Journal of Bioeconomics, Springer, vol. 15(2), pages 203-207, July.
  59. Waltman, L. & van Eck, N.J.P., 2009. "A Mathematical Analysis of the Long-run Behavior of Genetic Algorithms for Social Modeling," ERIM Report Series Research in Management ERS-2009-011-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.
  60. Thomas Riechmann, 2007. "An analysis of rent-seeking games with relative-payoff maximizers," Public Choice, Springer, vol. 133(1), pages 147-155, October.
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