Abstract
In this paper we introduce Farm, a distributed simulation environment for simulating large-scale multi-agent systems. Farm uses a component-based architecture, allowing the simulation to be easily modified and augmented, as well as distributed to spread the computational load and improve running time. Technical details of Farm’s architecture are described, along with discussion of the rationale behind this design. Performance graphs are provided, along with a brief discussion of the environments currently being modeled with Farm.
Effort sponsored in part by the Defense Advanced Research Projects Agency (DARPA) and Air Force Research Laboratory Air Force Materiel Command, USAF, under agreements number F30602-99-2-0525 and DOD DABT63-99-1-0004. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. This material is also based upon work supported by the National Science Foundation under Grant No. IIS-9812755. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory or the U.S. Government.
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Horling, B., Mailler, R., Lesser, V. (2004). Farm: A Scalable Environment for Multi-agent Development and Evaluation. In: Lucena, C., Garcia, A., Romanovsky, A., Castro, J., Alencar, P.S.C. (eds) Software Engineering for Multi-Agent Systems II. SELMAS 2003. Lecture Notes in Computer Science, vol 2940. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24625-1_13
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DOI: https://doi.org/10.1007/978-3-540-24625-1_13
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