This paper considers the dynamic evolution of algorithmic (recursive) learning rules in a normal form game. It is shown that the system - the population frequencies - is globally stable for any arbitrary N-player normal form game, if the evolutionary process is algorithmic and the "birth...

This paper delovers the solution to an optimal search problem with learning where the searcher has distinguishable search opportunities. The optimal sampling strategy is characterized by simple reservation prices that determine which of the search alternatives to sample and when to stop search.

Traditional macroeconomic models fail to explain short- and medium-term volatility of foreign exchange rates. Following the new strand of market microstructure approaches to the problem, we model the dynamic optimization problem of a monopolistic market maket who faces uncertainty about some...

This paper proposes an expected utility framework for the treatment of theoretical and empirical issues in technical analysis. Circumstances are found in which a technical analysts' behaviour is 'rationalisable' and schemes for learning such rational behaviour are considered. The decision...