Abstract
In this paper, the global and local approach to dynamic input-output complex systems modeling is presented. Local and global modeling problems are formulated. Dynamic neural network's learning algorithm for global modeling of complex system has been constructed. Analogy between models of input-output complex systems and multiagent systems is discussed.
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