The purpose of this paper is to present some results of our research in the field of inter-generational learning dynamics and knowledge transfer, with applications in universities. This topic is important because a university is by its own nature a nested knowledge organization, due to a...

The purpose of this paper is to present some results of our research in the field of inter-generational learning dynamics and knowledge transfer, with applications in universities. This topic is important because a university is by its own nature a nested knowledge organization, due to a...

In the immediate future, intergenerational knowledge transfer is one of the knowledge-based economy’s main challenges since an inner motivational force powers knowledge transfer. Knowledge transfer from individuals to groups and organization must follow knowledge creation in order to transform...

Repetitive Stochastic Guesstimation (RSG) is a probabilistic algorithm introduced in Charemza (1996) which mimics the usual guessing of the parameters involved in a complex large macroeconomic model. The paper analyzes the objective function employed by RSG and it establishes sufficient...

The paper analyzes the regression problem for small and undersized sample. Two classical algorithms are compared: Simulated Annealing (SA) versus Repetitive Stochastic Guesstimation (RSG). An improved version of RSG is built and compared to the previous two algorithms. The author concludes that...