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Artificial Worlds and Economics, Part I

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  • Lane, David A
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    Abstract

    In this and a companion paper (Lane 1993), I describe a class of models, called artificial worlds (AWs), that are designed to give insight into a process called emergent hierarchical organization (EHO). This paper introduces the ideas of EHO and AWs and discusses some of the interferential problems involved in trying to learn about EHO by constructing and studying the properties of AWs. It concludes by introducing two abstract AWs that address important general problems in EHO: the relation between structure and function, and the dynamics of evolutionary processes. The companion paper will discuss several AWs expressly designed to model particular economic phenomena.

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    Bibliographic Info

    Article provided by Springer in its journal Journal of Evolutionary Economics.

    Volume (Year): 3 (1993)
    Issue (Month): 2 (May)
    Pages: 89-107

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    Handle: RePEc:spr:joevec:v:3:y:1993:i:2:p:89-107

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    Cited by:
    1. Giorgio Fagiolo & Andrea Roventini, 2008. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," LEM Papers Series 2008/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Sieg, Gernot, 2001. "A political business cycle with boundedly rational agents," European Journal of Political Economy, Elsevier, vol. 17(1), pages 39-52, March.
    3. Teubal, Morris, 1997. "A catalytic and evolutionary approach to horizontal technology policies (HTPs)," Research Policy, Elsevier, vol. 25(8), pages 1161-1188, January.
    4. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics.
    5. Giovanni Dosi & Daniel Levinthal & Luigi Marengo, 2002. "The Uneasy Organizational Matching Between Distribution of Knowledge, Divisionof Labor and Incentive Governance," LEM Papers Series 2002/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Tony Curson Price, 1997. "Using co-evolutionary programming to simulate strategic behaviour in markets," Levine's Working Paper Archive 588, David K. Levine.
    8. Hodgson, Geoffrey M. & Knudsen, Thorbjorn, 2004. "The complex evolution of a simple traffic convention: the functions and implications of habit," Journal of Economic Behavior & Organization, Elsevier, vol. 54(1), pages 19-47, May.
    9. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 8.
    10. Andreas Pyka & Giorgio Fagiolo, 2005. "Agent-Based Modelling: A Methodology for Neo-Schumpeterian Economics," Discussion Paper Series 272, Universitaet Augsburg, Institute for Economics.
    11. Ballot, GĂ©rard & Taymaz, Erol, 1993. "Firm-Sponsored Training, Technical Progress and Aggregate Performance in a Micro-Macro Model," Working Paper Series 402, Research Institute of Industrial Economics.
    12. Windrum,Paul, 1999. "Simulation models of technological innovation: A Review," Research Memorandum 005, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    13. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    14. Robert Axtell & Robert Axelrod & Joshua M. Epstein & Michael D. Cohen, 1995. "Aligning Simulation Models: A Case Study and Results," Working Papers 95-07-065, Santa Fe Institute.
    15. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2005. "Animal Spirits, Lumpy Investment, and Endogenous Business Cycles," LEM Papers Series 2005/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    17. Guido Fioretti, 2013. "Romulus-Catalin Damaceanu: Agent-based computational economics using netlogo," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 689-692, July.

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