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

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 [Departmental Technical Report] (Unpublished)

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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
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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