The article studies the conceptions of causality encountered in macroeconometrics. From an empiricist standpoint, it is natural to privilege measurements of phenomenal associations, spread over a period of time, between series of data. This method has made a major comeback since the 1970s,...

Based on evolutionist theories and project management knowledge, a connectionist model based on genetic algorithm is built to simulate innovation process in organizations. Transformation and selection produce micro dynamics to create macro behavior in the agents' population. Results clarify...

In this note we attempt to trace the history and development of Markov chain Monte Carlo (MCMC) from its early inception in the late 1940's through its use today. We see how the earlier stages of the Monte Carlo (MC, not MCMC) research have led to the algorithms currently in use. More...