Connecting Adaptive Behaviour and Expectations in Models of Innovation: The Potential Role of Artificial Neural Networks

E3I Working Paper No. 2001-2

22 Pages Posted: 15 Mar 2004

See all articles by Murat Yildizoglu

Murat Yildizoglu

University of Angers - Groupe de Recherche en Économie Théorique et Appliquée (GREThA)

Date Written: 2001

Abstract

In this methodological work I explore the possibility of explicitly modelling expectations 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).

Keywords: Bounded rationality, Learning, Genetic Algorithms, Artificial Neural Networks, Industrial Dynamics, Innovation

JEL Classification: L1, D92, D4, C63

Suggested Citation

Yildizoglu, Murat, Connecting Adaptive Behaviour and Expectations in Models of Innovation: The Potential Role of Artificial Neural Networks (2001). E3I Working Paper No. 2001-2. Available at SSRN: https://ssrn.com/abstract=516583 or http://dx.doi.org/10.2139/ssrn.516583

Murat Yildizoglu (Contact Author)

University of Angers - Groupe de Recherche en Économie Théorique et Appliquée (GREThA) ( email )

Avenue Léon Duguit
Aveneu Duguit
Pessac, 33 608
France

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