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References (57)
-
Sebastiano Brusco, Tommaso Minerva, I. Poli, G. Solinas (2002)
Un automa cellulare per lo studio del distretto industriale, 2
-
Nigel lbert, K. Troitzsch (1999)
Simulation for the social scientist -
N. Gilbert, P. Terna (2000)
How to build and use agent-based models in social scienceMind & Society, 1
-
F. Malerba (2006)
Innovation and the evolution of industriesJournal of Evolutionary Economics, 16
-
M. Janssen (2009)
Understanding Artificial AnasaziJ. Artif. Soc. Soc. Simul., 12
-
John Miller, S. Page (2007)
Complex Adaptive Systems: An Introduction to Computational Models of Social Life -
Francesca Borrelli, C. Ponsiglione, L. Iandoli, G. Zollo (2005)
Inter-Organizational Learning and Collective Memory in Small Firms Clusters: an Agent-Based ApproachJ. Artif. Soc. Soc. Simul., 8
-
S. Page (2007)
The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies -
N. Vriend (1999)
Was Hayek an Ace?Macroeconomics eJournal
-
Rosanna Garcia (2005)
Uses of Agent-Based Modeling in Innovation/New Product Development ResearchJournal of Product Innovation Management, 22
-
J. Epstein, R. Axtell (1996)
Growing Artificial Societies: Social Science from the Bottom Up -
G. Fioretti (2001)
Information Structure and Behaviour of a Textile Industrial DistrictJ. Artif. Soc. Soc. Simul., 4
-
U. Wilensky, W. Rand (2007)
Making Models Match: Replicating an Agent-Based ModelJ. Artif. Soc. Soc. Simul., 10
-
B. Coriat, G. Dosi (2002)
The Institutional Embeddedness of Economic Change. An Appraisal of the "Evolutionary" and "Regulationist" Research Programmes -
E. Bonabeau (2002)
Agent-based modeling: Methods and techniques for simulating human systemsProceedings of the National Academy of Sciences of the United States of America, 99
-
J. Holland (1995)
Hidden Order: How Adaptation Builds Complexity -
S. Goldstein (2010)
Pro: the general anesthesiologist should be trained and certified in transesophageal echocardiography.Journal of cardiothoracic and vascular anesthesia, 24 1
-
Matteo Richiardi, Roberto Leombruni, N. Saam, Michele Sonnessa (2006)
A Common Protocol for Agent-Based Social SimulationERN: Simulation Methods (Topic)
-
J. Casti (1996)
Would-Be Worlds: How Simulation Is Changing the Frontiers of Science -
Myong-Hun Chang, J. Harrington (2000)
Organization of Innovation in a Multi-Unit Firm: Coordinating Adaptive Search on Multiple Rugged Landscapes, 14
-
S. Aciar, Christian Serarols-Tarrés, M. Royo-Vela, J. Esteva (2007)
Increasing effectiveness in e-commerce: recommendations applying intelligent agentsInternational Journal of Business and Systems Research, 1
-
D. Sallach (2001)
Dynamics in Human and Primate Societies: Agent-Based Modeling of Social and Spatial Processes Edited by Timothy A. Kohler and George J. GumermanJ. Artif. Soc. Soc. Simul., 4
-
R. Axelrod (1997)
Advancing the art of simulation in the social sciencesComplex., 3
-
V. Albino, N. Carbonara, I. Giannoccaro (2007)
Supply chain cooperation in industrial districts: A simulation analysisEur. J. Oper. Res., 177
-
Junfu Zhang (2003)
Growing Silicon Valley on a landscape: an agent-based approach to high-tech industrial clustersJournal of Evolutionary Economics, 13
-
F. Squazzoni, R. Boero (2002)
Economic Performance, Inter-Firm Relations and Local Institutional Engineering in a Computational Prototype of Industrial DistrictsJ. Artif. Soc. Soc. Simul., 5
-
Francesca Borrelli, L. Iandoli, Cristina Ponsiglione, Giuseppe Zollo (2006)
Apprendimento e memoria collettiva nei cluster di imprese: un modello di simulazione basato su agenti -
D. Lane (2002)
Complexity and Local Interactions: Towards a Theory of Industrial Districts -
Pietro Terna (2002)
Simulazione ad agenti in contesti di impresa -
J. Barney, R. Nelson, S. Winter (1987)
An Evolutionary Theory of Economic Change.by Richard R. Nelson; Sidney G. WinterAdministrative Science Quarterly, 32
-
G. Bobashev, D. Goedecke, Feng Yu, J. Epstein (2007)
A Hybrid Epidemic Model: Combining The Advantages Of Agent-Based And Equation-Based Approaches2007 Winter Simulation Conference
-
V. Albino, N. Carbonara, I. Giannoccaro (2009)
Supply Chain Management models for Industrial Districts: an Agent-Based Simulation studyInt. J. Intell. Syst. Technol. Appl., 6
-
M. North, C. Macal (2005)
Escaping the Accidents of History: An Overview of Artificial Life Modeling with Repast -
P. Iskanius, H. Helaakoski, T. Page (2009)
A collaborative working tool for information systems integration and continuous improvementInternational Journal of Business and Systems Research, 3
-
M. North, C. Macal (2007)
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation -
R. Boero, M. Castellani, F. Squazzoni (2004)
Micro Behavioural Attitudes and Macro Technological Adaptation in Industrial Districts: an Agent-Based PrototypeJ. Artif. Soc. Soc. Simul., 7
-
J. Casti (2000)
BizSim: the world of business—in a boxArtificial Life and Robotics, 4
-
F. Belussi, G. Gottardi, Enzo Rullani (2003)
The Technological Evolution of Industrial Districts -
J. Epstein (2012)
Remarks on the Foundations of Agent-Based Generative Social ScienceHandbook of Computational Economics, 2
-
Fredrik Nilsson, V. Darley (2006)
On complex adaptive systems and agent-based modelling for improving decision-making in manufacturing and logistics settings: Experiences from a packaging companyInternational Journal of Operations & Production Management, 26
-
L. Tesfatsion (2006)
Agent-based computational economics : A constructive approach to economic theoryHandbook of Computational Economics, 2
-
G. Booch, J. Rumbaugh, I. Jacobson (1998)
The Unified Modeling Language User GuideJ. Database Manag., 10
-
H. Otter, A. Veen, H. Vriend (2001)
ABLOoM: Location Behaviour, Spatial Patterns, and Agent-based ModellingJ. Artif. Soc. Soc. Simul., 4
-
R. Hegselmann, P. Terna (1997)
Simulating Social Phenomena -
S. Railsback, S. Lytinen, Stephen Jackson (2006)
Agent-based Simulation Platforms: Review and Development RecommendationsSimulation, 82
-
Nigel Gilbert, A. Pyka, P. Ahrweiler (2001)
Innovation Networks - A Simulation ApproachJ. Artif. Soc. Soc. Simul., 4
-
John Padgett, Doowan Lee, Nick Collier (2003)
Economic production as chemistryIndustrial and Corporate Change, 12
-
F. Belussi, G. Gottardi (2000)
Evolutionary patterns of local industrial systems : towards a cognitive approach to the industrial district -
V. Albino, N. Carbonara, I. Giannoccaro (2003)
Coordination Mechanisms based on Cooperation and Competition within Industrial Districts: An agent-based computational approachJ. Artif. Soc. Soc. Simul., 6
-
G. Fioretti (2005)
Agent-Based Models of Industrial Clusters and Districts -
R. Axelrod (1997)
The Complexity of Cooperation: Agent-Based Models of Competition and CollaborationCanadian Journal of Political Science, 31
-
M. North (2001)
Toward Strength and StabilitySocial Science Computer Review, 19
-
G. Gottardi (1996)
Technology strategies, innovation without R&DIndustry and Innovation, 3
-
S. Moss (1998)
Simulating Social Phenomena by Rosaria Conte, Rainer Hegselmann and Pietro Terna (eds.)J. Artif. Soc. Soc. Simul., 1
-
T. Brenner (2004)
Local Industrial Clusters: Existence, Emergence and Evolution -
J. Holland (1998)
Emergence: Chaos to Order -
N. Jennings (2000)
On agent-based software engineeringArtif. Intell., 117
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1751-200X
- eISSN
- 1751-2018
- DOI
- 10.1504/IJBSR.2011.040787
- Publisher site
- See Article on Publisher Site
Abstract
The interest of social scientists in dynamic and far from equilibrium processes, the need for efficient methods to analyse complex business systems, and the availability of new computational tools, are the reasons for the growing interest in agent-based simulation models (ABMs). One of the applications of ABMs in economic and business field is the study of geographical clusters. Using simulation, various authors have tried to validate specific hypotheses about emergent features and performances of these systems. Nevertheless, the analyses of their dynamic behaviour are in part, lacking. The aim of this paper is to investigate, using a quite general AB simulation platform, the drivers of their evolutionary trajectories: origin, growth, maturity and death or transformation. After some references on the state of the art and on the use of the ABMs in business systems dynamics, the principal building criteria of a quite general simulation platform are described. In the conclusions, some preliminary results and research agenda are synthesised.
Journal
International Journal of Business and Systems Research – Inderscience Publishers
Published: Jan 1, 2011