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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).'
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- http://147.210.86.202/ifrede/e3i/publications/WP/article.php3?SELECTWP=2001-2
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creators_id:
- yildi
creators_name:
- family: Yildizoglu
given: Murat
honourific: ''
lineage: ''
date: 2001
date_type: published
datestamp: 2004-10-08
department: UFR Sciences Economiques et de Gestion
dir: disk0/00/00/38/65
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eprint_status: archive
eprintid: 3865
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institution: 'E3i, IFReDE,GRES'
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keywords: 'Bounded rationality, Learning, Genetic Algorithms, Artificial Neural Networks, Industrial Dynamics, Innovation'
lastmod: 2011-03-11 08:55:42
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note: 'JEL Classification : L1, D92, D4, C63'
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referencetext: |-
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relation_type: []
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reportno: 2001-2
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:53:56
subjects:
- comp-sci-mach-learn
- comp-sci-neural-nets
- comp-sci-art-intel
- socsim
succeeds: ~
suggestions: ~
sword_depositor: ~
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thesistype: ~
title: 'Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks'
type: techreport
userid: 5133
volume: ~