Manuscript Topics

Real-world systems often evolve with emergence of complex phenomena, corresponding to particular functions of those systems. How to model such kind of emergence in complex intelligent systems of large scale has become one of focal issues in communities of applied sciences, requiring appropriate combination and utilization of model-driven and data-driven methods using dynamical systems theory. Also, based on the modeling, realization of prediction and implementation of control on those systems are of great significance. This special issue, focusing on modeling, predicting, and controlling complex intelligent systems, welcomes the recent progresses in both theoretical and numerical directions.

Keywords: complex systems; artificial intelligence; causality; dynamical systems theory; stochastic; control; prediction

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