Agentic AI Architectures for Autonomous Decision-Making in Dynamic Environments
The increasing complexity of real-world systems has revealed the shortcomings of traditional artificial intelligence models that usually base on a set of rules or offline training. These strategies fail to work well in flexible settings where the conditions keep on changing and decisions are made on the fly. This artic...