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

Murat Yildizoglu (1)

1 GREThA - Groupe de Recherche en Economie Théorique et Appliquée

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).

Mots clés: bounded rationality; learning; expectations; innovation dynamics; Neural networks; genetic algorithms

Domaines: Economies et finances

Murat Yildizoglu. Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks. European Journal of Economic and Social Systems, 2001, 15, pp.203-220. ⟨10.1051/ejess:2001105⟩. ⟨hal-00125106⟩