The concept of decentralised evolutionary computation realised as evolutionary multi-agent system (EMAS) is described in the paper. Also agent-based evolutionary approach to neural network architecture optimisation is presented. Then the problem of tme-series prediction and a general idea of evolutionary neural multi-agent predicting system is introduced. Selected design issues together with preliminary simulation results conclude the work.
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