No abstract

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.

Flexibility, throughput, maintainability, scalability, reliability and low cost: That are the main optimization criteria of material flow systems (MFS). The most of this criteria are diametrical and so hardly to improve considerably with today's existing transportation devices and their static control structures. Hence a new approach of a transportation systems with cooperating robotic units and a novel cognitive environment will be presented. This approach will combine different research areas like robotics and wireless sensor networks to achieve a higher degree of flexibility.

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.