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This document explores the critical methodologies for modelling and simulation within the context of the artificial intelligence era. It delves into how AI advancements are transforming traditional simulation approaches, enabling more sophisticated, data-driven, and adaptive models. Understanding these methodologies is crucial for developing robust intelligent systems and predicting complex behaviors in various domains.

Explore the dynamic field of Intelligent Systems, focusing on advanced methodologies for Modeling, Automation, and Control. This encompasses the design, implementation, and optimization of sophisticated systems that can autonomously manage complex processes, leveraging cutting-edge techniques in artificial intelligence and adaptive control for enhanced performance and reliability.