Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks
AbstractIn this methodological work I explore the possibility of explicitly modelling expec-tations conditioning the R&D decisions of firms. In order to isolate this problem from the controversies of cognitive science, I propose a black box strategy through the concept of internal model . The last part of the article uses artificial neural networks to model the expectations of firms in a model of industry dynamics based on Nelson & Winter (1982).
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Bibliographic InfoPaper provided by Equipe Industries Innovation Institutions, Université Bordeaux IV, France in its series Working Papers with number 2001-2.
Date of creation: 2001
Date of revision:
Neural networks; Genetic algorithms; Bounded rationality; learning; expectations; innovation dynamics.;
Other versions of this item:
- Murat Yildizoglu, 2002. "Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks," Computing in Economics and Finance 2002 200, Society for Computational Economics.
- L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
This paper has been announced in the following NEP Reports:
- NEP-ALL-2001-09-26 (All new papers)
- NEP-CMP-2001-09-26 (Computational Economics)
- NEP-ENT-2001-09-26 (Entrepreneurship)
- NEP-EVO-2001-09-26 (Evolutionary Economics)
- NEP-INO-2001-09-26 (Innovation)
- NEP-MIC-2001-09-26 (Microeconomics)
- NEP-NET-2001-09-26 (Network Economics)
- NEP-TID-2001-09-26 (Technology & Industrial Dynamics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kwasnicki, Witold & Kwasnicka, Halina, 1992. "Market, innovation, competition: An evolutionary model of industrial dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 19(3), pages 343-368, December.
- Winter, Sidney G., 1984. "Schumpeterian competition in alternative technological regimes," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 287-320.
- Kwasnicki, Witold, 1998. "Skewed distributions of firm sizes--an evolutionary perspective," Structural Change and Economic Dynamics, Elsevier, vol. 9(1), pages 135-158, March.
- G. Silverberg & B. Verspagen, 1995. "Evolutionary Theorizing on Economic Growth," Working Papers wp95078, International Institute for Applied Systems Analysis.
- GÃ©rard Ballot & Erol Taymaz, 1999. "Technological Change, Learning and Macro-Economic Coordination: an Evolutionary Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 3.
- Murat YILDIZOGLU (Université Aix-Marseille3), 2009. "Evolutionary approaches of economic dynamics (In French)," Cahiers du GREThA 2009-16, Groupe de Recherche en Economie Théorique et Appliquée.
- Fioretti, Guido, 2006.
"Recognising investment opportunities at the onset of recoveries,"
Research in Economics,
Elsevier, vol. 60(2), pages 69-84, June.
- Guido Fioretti, 2002. "Recognizing Investment Opportunities at the Onset of Recoveries," Macroeconomics 0207008, EconWPA.
- Guido Fioretti, . "Recognizing Investment Opportunities at the Onset of Recoveries," Modeling, Computing, and Mastering Complexity 2003 07, Society for Computational Economics.
- Murat YILDIZOGLU (GREQAM, CNRS, UMR 6579) & Marc-Alexandre SENEGAS (GREThA, CNRS, UMR 5113) & Isabelle SALLE (GREThA, CNRS, UMR 5113) & Martin ZUMPE (GREThA, CNRS, UMR 5113), 2011.
"Learning the optimal buffer-stock consumption rule of Carroll,"
Cahiers du GREThA
2011-11, Groupe de Recherche en Economie Théorique et Appliquée.
- Murat Yildizoglu & Marc-Alexandre Sénégas & Isabelle Salle & Martin Zumpe, 2011. "Learning the optimal buffer-stock consumption rule of Carroll," Working Papers halshs-00573689, HAL.
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