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Agent-Based Models of Industrial Clusters and Districts

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Author Info
Guido Fioretti (University of Bologna)

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Abstract

Agent-based models, an instance of the wider class of connectionist models, allow bottom-up simulations of organizations constituted byu a large number of interacting parts. Thus, geogrfaphical clusters of competing or collaborating firms constitute an obvious field of application. This contribution explains what agent-based models are, reviews applications in the field of industrial clusters and focuses on a simulator of infra- and inter-firm communications.

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File URL: http://129.3.20.41/eps/urb/papers/0504/0504009.pdf
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Publisher Info
Paper provided by EconWPA in its series Urban/Regional with number 0504009.

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Length: 22 pages
Date of creation: 28 Apr 2005
Date of revision:
Handle: RePEc:wpa:wuwpur:0504009

Note: Type of Document - pdf; pages: 22. Forthcoming in F. Columbus (Ed.), 'Contemporary Issues in Urban and Regional Economics'. Nova Science Publishers.
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Web page: http://129.3.20.41

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Related research
Keywords: Agent-based models; industrial clusters; industrial districts;

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Find related papers by JEL classification:
R - Urban, Rural, and Regional Economics

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References listed on IDEAS
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  1. Junfu Zhang, 2003. "Growing Silicon Valley on a landscape: an agent-based approach to high-tech industrial clusters," Journal of Evolutionary Economics, Springer, vol. 13(5), pages 529-548, December. [Downloadable!] (restricted)
  2. Myong-Hun Chang & Joseph E Harrington, 2000. "Organization of Innovation in a Multi-Unit Firm: Coordinating Adaptive Search on Multiple Rugged Landscapes," Economics Working Paper Archive 442, The Johns Hopkins University,Department of Economics. [Downloadable!]
  3. Guido Fioretti, 2001. "Structure and behaviour of a textile industrial district," ICER Working Papers 02-2001, ICER - International Centre for Economic Research. [Downloadable!]
  4. Thomas Brenner, Niels Weigelt, -DISCUSSANT: Gianfranco Guilioni, 2000. "The Evolution Of Industrial Clusters- Simulating Spatial Dynamics," Computing in Economics and Finance 2000 284, Society for Computational Economics. [Downloadable!]
  5. Allen, P. M. & McGlade, J. M., 1987. "Modelling complex human systems: A fisheries example," European Journal of Operational Research, Elsevier, vol. 30(2), pages 147-167, June. [Downloadable!] (restricted)
  6. Axelrod, Robert & Tesfatsion, Leigh S., 2006. "A Guide for Newcomers to Agent-Based Modeling in the Social Sciences," Staff General Research Papers 12515, Iowa State University, Department of Economics. [Downloadable!]
  7. Tesfatsion, Leigh S. & Judd, Kenneth L., 2003. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers 10368, Iowa State University, Department of Economics. [Downloadable!]
  8. Vito Albino & Nunzia Carbonara & Ilaria Giannoccaro, 2003. "Coordination Mechanisms Based on Cooperation and Competition Within Industrial Districts: an Agent-Based Computational Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6. [Downloadable!]
  9. Riccardo Boero & Marco Castellani & Flaminio Squazzoni, 2004. "Micro Behavioural Attitudes and Macro Technological Adaptation in Industrial Districts: an Agent-Based Prototype," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7. [Downloadable!]
  10. Nigel Gilbert & Andreas Pyka & Petra Ahrweiler, 2001. "Innovation Networks - a Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4. [Downloadable!]
  11. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind and Society: Cognitive Studies in Economics and Social Sciences, Fondazione Rosselli, vol. 1(1), pages 57-72, March. [Downloadable!] (restricted)
  12. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476.
  13. Thomas Brenner, 2001. "Simulating the Evolution of Localised Industrial Clusters - an Identification of the Basic Mechanisms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4. [Downloadable!]
  14. Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating knowledge dynamics in innovation networks (SKIN)," Discussion Paper Series 267, Universitaet Augsburg, Institute for Economics. [Downloadable!]
  15. Robert Tobias & Carole Hofmann, 2004. "Evaluation of free Java-libraries for social-scientific agent based simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7. [Downloadable!]
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