Modeling of Multi-Agent Virtual Expert Competition for the Use of Expert Virtual Resource

Abstract

One of the current areas of research in the field of corporate systems management is the use of expert and virtual resource (EVR), intended for intellectualization of decision-making support in cases where knowledge corporate environment is poorly structured and it has obscure connections and a multi-level subordination hierarchy. The main components of EVR are real and virtual experts, one of the variations of which is the multi-agent virtual expert (MAVE). In this case, interaction of agents with expert and virtual resource is carried out in a challenge response mode, and on a certain number of requests, the competition for the use of expert and virtual resource arises. To simulate the competition for resources, an approach based on the use of standard integration logistic mapping, generalized in case of the two interacting MAVE competing for the use of expert and virtual resource, is introduced. The results of numerical calculations confirmed the proposed model effectiveness. It is proved that the cases of stable, non-zero system solutions, i.e. Quantity stabilization of both MAVES, have practical importance.