Individual learning in different social contexts

This paper analyses the effects of learning on individual behaviour in an experiment that requires cooperation and coordination within teams. Different social contexts were created and used as training environments for artificial agents. The results confirm previous findings (on the tendency to repeat successful strategies and to apply them in new situations) and suggest new hypotheses. Learning is based not only on a mechanical repetition of past choices, but also on the attitude toward building a model of the world. Moreover, the paper empirically tests the role of satisfaction in routinization.