title: Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks creator: Yildizoglu, Murat subject: Machine Learning subject: Neural Nets subject: Artificial Intelligence subject: Social simulation description: 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 type: Departmental Technical Report type: NonPeerReviewed format: application/pdf identifier: http://cogprints.org/3865/1/2001-2.pdf identifier: Yildizoglu, Murat (2001) Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks. [Departmental Technical Report] (Unpublished) relation: http://cogprints.org/3865/