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 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)

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Year of publication:	2012
Authors:	Yildizoglu, Murat
Publisher:	[S.l.] : SSRN
Subject:	Theorie \| Theory \| Neuronale Netze \| Neural networks \| Innovation

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Extent:	1 Online-Ressource (22 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2001 erstellt
Other identifiers:	10.2139/ssrn.516583 [DOI]
Classification:	L1 - Market Structure, Firm Strategy, and Market Performance ; D92 - Intertemporal Firm Choice and Growth, Investment, or Financing ; D4 - Market Structure and Pricing ; C63 - Computational Techniques
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014072751