Experiences in Simulating Multi-Agent Systems Using TAEMS TITLE2:
R. Vincent, Bryan Horling, Victor Lesser · 1999
Building multi-agent systems in real, open environments, often means we have to spend significant energy on resolving issues orthogonal to the initial goals of the research. To avoid such overhead many researchers choose to implement, test and evaluate their multi-agent systems in a simulated world. In addition to providing a better-defined and predictable debugging environment, a good simulator can also help evaluate and quantify aspects of multi-agent system and multi-agent coordination in a controlled environment through repeated experiments. In this paper we will describe the simulator we built, which uses the TAEMS modeling language as its primary knowledge representation. We will also present two multi-agent environments built using these tools and how the simulator can be used to effectively implement and test multi-agent systems.