Abstract
Several natural systems are defined as complex (related to several domains including: physics, biology, social sciences, cognitive sciences, ...) and many artificial and industrial systems fall into this category. These systems are often distributed, open, large-scale and heterogeneous. With their interconnections so complicated, they are beyond the general understanding of a human being. Modelling such systems is not an easy task and so the need of efficient techniques and models. Different techniques and models was proposed to tackle the complexity of modelling such systems. The evolution of artificial intelligence techniques can solve several problems related to complex systems design.
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Mefteh, W., Mejri, MA. (2020). Complex Systems Modeling Overview About Techniques and Models and the Evolution of Artificial Intelligence. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1159. Springer, Cham. https://doi.org/10.1007/978-3-030-45688-7_67
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