creators_name: Yildizoglu, Murat
creators_id: yildi
type: techreport
datestamp: 2004-10-08
lastmod: 2011-03-11 08:55:42
metadata_visibility: show
title: Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks
ispublished: unpub
subjects: comp-sci-mach-learn
subjects: comp-sci-neural-nets
subjects: comp-sci-art-intel
subjects: socsim
full_text_status: public
keywords: Bounded rationality, Learning, Genetic Algorithms, Artificial Neural Networks, Industrial Dynamics, Innovation
note: JEL Classification : L1, D92, D4, C63
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).
date: 2001
date_type: published
institution: E3i, IFReDE,GRES
department: UFR Sciences Economiques et de Gestion
refereed: FALSE
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citation:   Yildizoglu, Murat  (2001) Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks.  [Departmental Technical Report]    (Unpublished)  
document_url: http://cogprints.org/3865/1/2001-2.pdf