Multi Agent Simulations are well known and widely-used simulations which can simulate embodied agents in neighbourhoods or environments. The designing of such environments has, so far, mainly to be done by hard coding them directly in the simulation source code. In this paper we present EnvEdit, a graphical environment editor for MASON. EnvEdit leads to a less time consuming and less error-prone design of environments.

To optimize the transportation processes inside transfer stations the degree of automation has to be increased without the loose of flexibility. Therefore this paper proposes a detailed architecture for an intelligent material flow system based on the technologies of Multi-Agent-Systems (MAS) and wireless sensor networks. Furthermore, a novel framework is proposed that eases the integration process between the MAS and the physical level of heterogeneous conveyors.