Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks

In 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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Year of publication:	2001
Authors:	Yildizoglu, Murat
Institutions:	Groupe de Recherche en Économie Théorique et Appliquée (GREThA), Université de Bordeaux
Subject:	Neural networks \| Genetic algorithms \| Bounded rationality \| learning \| expectations \| innovation dynamics

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Classification:	L1 - Market Structure, Firm Strategy, and Market Performance ; D83 - Search, Learning, Information and Knowledge ; D84 - Expectations; Speculations
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005133009