de conocimiento en grandes bases de datos (knowledge discovery y data mining). Las conclusiones a que se llega …

checkfor is a routine to check for existence of a list of variables within a data set. checkfor searchs through the … data whether the variable exists. If it does not, a message is issued. If it does, the program looks for missings structure. …

of governance, drawn from 25 separate data sources constructed by 18 different organizations. We assign these individual … data given the estimated margins of errors. The data, as well as a web-based graphical interface, are available at www …

methodological issues. Then the attention is focused on the relevance of the experimental method for the analysis of learning and …

which one can describe the learning behaviour of agents and the changes in action spaces. Using the extremely simplified …

An agent-based artificial financial market (AFM) is used to study market efficiency and learning in the context of the … there are many coexisting signals. Learning is introduced by considering 'copycat' traders that learn the relative values of … the different strategies in the market and copy the most successful one. We show how such learning leads to a more …

This paper aims at studying the effects of learning - seen as a possible source of individual heterogeneity - on team … strategies learned in the past, to the new situations faced. Learning processes, yet, are not based on the mechanical repetition …