  Multi-Agent Systems (MAS) have been applied to several areas or tasks ranging
from energy networks controlling to robot soccer teams. MAS are the ideal
solution when they provide decision support in situations where human decision
and actions are not feasible to operate the system in control and in real-time.
Thus, we present a case study that is related to dynamic simulation of an
automatic inventory management system. We provide two types of agents, the
clients, and the seller agents. Through a system of communication, the agents
exchange messages to fulfill their inventory needs. The client agents trade
products in quantities according to their needs and rely on seller agents if
other clients in the retailer chain cannot provide the needed items.
Additionally, it is expected that the trading between a client and the sellers
is done through a reverted type of auction. This case study MAS uses BDI and
FIPA-ACL in its implementation resulting in a clear simulation of the system.
We expect to provide a comparison between two distinct situations. One with
only external transactions with providers, and a situation where both internal
and external transactions are allowed.
