Cognitive architectures play a pivotal role in shaping the landscape of advanced decisionmaking
in AI robotics, as they provide a framework for integrating complex cognitive
processes and functionalities. These architectures serve as the blueprint for designing
intelligent systems that can mimic human-like reasoning, learning, and problem-solving
abilities From classical rule-based systems to more sophisticated neural network-based
models, the evolution of cognitive architectures reflects the relentless pursuit of creating
machines capable of nuanced decision-making in dynamic environments.