We distinguish learning in a static environment from that in a dynamic environment to show the existence of an important interaction between the development of new technologies and human capital accumulation. Since technological progress creates a more dynamic and uncertain environment, it not...

Adaptive coding is defined as the adjustment of parameters of a cognitive process as a function of the task's statistical properties. Our aim is to demonstrate that adaptive coding maximizes performance in situations where decision-making follows a reinforcement learning process (RLM), and test...

We use a dynamic model to study the effects of technology and learning on the long run economic growth rates of a leading and a lagging region. New technologies are developed in the leading region but technological improvements in the lagging region are the result of learning from the leading...

We develop a general equilibrium overlapping generations model which is based on the view that education makes workers more productive by increasing their ability to learn from work experience, rather than providing skills that directly increase productivity. One important implication of the...