This paper explores the question whether boundedly rational agents learn to behave optimally when asked to voluntarily contribute to a public good. The decision process of individuals is described by an Evolutionary Algorithm. We analyze the learning process of purely and impurely altruistic...

This article tries to connect two separate strands of literature concerning genetic algorithms. On the one hand, extensive research took place in mathematics and closely related sciences in order to find out more about the properties of genetic algorithms as stochastic processes. On the other...

The present paper draws on the main issues in the production of scientific knowledge based upon grounded theory in management accounting research. This piece of work is a bibliographic study confronting grounded theory practices with the expectations of its founders (Glaser et Strauss, 1967; Strauss...