Estimating and Measuring Performance of Computational Agents
Roman Neruda, Pavel Krušina · IEEE/WIC/ACM International Conference on Intelligent Agent Technology · 2006
We study and design multi-agent systems for computational intelligence modeling. Agents typically reside in a high-performance parallel environment, such as a cluster of computational nodes, and utilize a non-blocking asynchronous communication. The need of accurate predictions of run-time and other characterizations of complex parallel asynchronous processes bring us to design a new parallel model creation methodology. In this article our approach is briefly described and a test case is shown and discussed.