strategic decision-making and show that TI-games open a new field of strategic interaction. We first establish an equivalence … result between static games of incomplete information and static TI-games. We next develop a new solution concept for non …-commuting dynamic TI-games. The updating rule captures the novelty brought about by Type Indeterminacy namely that in addition to …

This paper analyses how the scoring systems actually and potentially used in a variety of sports and games affect the …

their income - the higher the risk aversion, the more stable the cooperatives and the lower the segregation. Learning can … high or low-risk, and while they are learning, they tend to create cooperatives that can last. Eventually we worked on the …

private agents are gradually learning their uncertain environment. When agents update their beliefs about the parameters that … under adaptive learning are significantly larger than under rational expectations. In our benchmark case calibrated using US … data on leverage, debt-to-GDP and land value-to-GDP ratios for 1996Q1-2008Q4, learning amplifies leverage shocks by a …

data when the agent's beliefs about the model are updated through linear learning algorithms. We find that learning in this … learning algorithm is recursive least squares, long memory arises when the coefficient on expectations is sufficiently large … endogenous variable is determined exogenously. Finally, this property of learning is used to shed light on some well …

. Particularly, as organizational learning is now anchored as an important part of the building and sustaining of the small and … learning and performance is important for managers and researchers. We could hypothesize that, combined with organizational … learning processes, some leaders' characteristics and behaviours are more important than others to lead the development of an …