This paper is the second part of The Semantic Web Paradigm for a Real-time Agent Control, and the goal is to present the predictability of a multiagent system used in a learning process for a control problem (MASLCP).

From the early 1990, there is a process of modernization of the automotive industry in Argentina that modifies both the required skills and methods of learning processes in the automakers and auto parts suppliers. The local automakers permanently cease its efforts to launch new models using the...

We describe a candid model for learning, why and how learning transpires. We investigate the original as well as the leading conditions of the learning process. We provide an insight into the realm of beliefs and their formation, their interaction and influence with the actor’s environment. In...

We examine the relative performances of reverse auctions and request for quotes in a simple commodity environment. Enterprises embarking on a reverse auction initiative often start with their commodity purchases. We conduct laboratory experiments and find that this is a poor starting point. Both...

In this article results of the two experiments, aimed at the development of the instrument (test) that would enable construction of the comprehensive measure of individual overconfidence for the use in economic overconfidence experiments, are presented. Instrument was obtained in a two-stage...