Yildizoglu, Murat (2001) Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks. [Departmental Technical Report] (Unpublished)
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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).
Item Type: | Departmental Technical Report |
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Additional Information: | JEL Classification : L1, D92, D4, C63 |
Keywords: | Bounded rationality, Learning, Genetic Algorithms, Artificial Neural Networks, Industrial Dynamics, Innovation |
Subjects: | Computer Science > Machine Learning Computer Science > Neural Nets Computer Science > Artificial Intelligence Psychology > Social Psychology > Social simulation |
ID Code: | 3865 |
Deposited By: | Yildizoglu, Prof. Murat |
Deposited On: | 08 Oct 2004 |
Last Modified: | 11 Mar 2011 08:55 |
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