A Framework for Modelling and Estimating Complexity in Multi-Agent Systems

R. Neruda and P. Krušina (Czech Republic)


Computational models, Multi-agent systems, Complexity


Multi-agent systems typically utilize a non-blocking asyn chronous communication in order to achieve required flex ibility and adaptability. High performance computing tech niques exploit the current hardware ability of overlapping asynchronous communication with computation to load the available computer resources efficiently. On the contrary, widely used parallel processes modeling methodologies do not often allow for an asynchronous communication de scription. At the same time those models do not allow their user to select the granularity level and provide only a fixed set of machine and algorithm description quantities. We address these issues and design a new parallel processes modeling methodology.

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