International audienceIn 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)
Neural networks are a computing paradigm developed from the field of artificial intelligence and bra...
This paper develops a new methodology in order to study the role of dynamic expectations. Neither re...
Early evolutionary models of industry dynamics have used very simple ways of modeling bounded ration...
International audienceIn this methodological work I explore the possibility of explicitly modelling ...
We explore the modelling of the determination of the level of R&D investment of firms. This means th...
This thesis aims to develop an alternative expectations model to the Rational Expectations Hypothesi...
Non-linear modelling techniques are the subject of increasing interest in innovation economics, with...
Uncertainty has increased over the various situations that arise in industrial enterprises and, cons...
This thesis aims to develop an alternative expectations model to the Rational Expectations Hypothesi...
Neural networks are a computing paradigm developed from artificial intelligence and brain modelling’...
The competition of four forecasting strategies in artificial market is studied in this paper. The en...
Value co-creation is an emerging marketing and innovation paradigm describing a broader opening of t...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
Value co-creation is an emerging business, marketing and innovation paradigm describing the firms ap...
This paper develops a new methodology in order to study the role of dynamic expectations. Neither re...
Neural networks are a computing paradigm developed from the field of artificial intelligence and bra...
This paper develops a new methodology in order to study the role of dynamic expectations. Neither re...
Early evolutionary models of industry dynamics have used very simple ways of modeling bounded ration...
International audienceIn this methodological work I explore the possibility of explicitly modelling ...
We explore the modelling of the determination of the level of R&D investment of firms. This means th...
This thesis aims to develop an alternative expectations model to the Rational Expectations Hypothesi...
Non-linear modelling techniques are the subject of increasing interest in innovation economics, with...
Uncertainty has increased over the various situations that arise in industrial enterprises and, cons...
This thesis aims to develop an alternative expectations model to the Rational Expectations Hypothesi...
Neural networks are a computing paradigm developed from artificial intelligence and brain modelling’...
The competition of four forecasting strategies in artificial market is studied in this paper. The en...
Value co-creation is an emerging marketing and innovation paradigm describing a broader opening of t...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
Value co-creation is an emerging business, marketing and innovation paradigm describing the firms ap...
This paper develops a new methodology in order to study the role of dynamic expectations. Neither re...
Neural networks are a computing paradigm developed from the field of artificial intelligence and bra...
This paper develops a new methodology in order to study the role of dynamic expectations. Neither re...
Early evolutionary models of industry dynamics have used very simple ways of modeling bounded ration...