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Cognitive architecture is a hypothesis inspired by the human mind in which systems work together along with the necessary resources to attain intelligent behavior in any complex environment. Cognitive architecture's aim is the development of artificial agents that support the same capabilities as that of the human mind. In other words, it focuses on the tight integration between cognitive science and artificial intelligence.
Cognitive architecture focuses on both the development of artificial intelligence as well as the modeling of natural intelligence. A fully functional cognitive architecture should be able to integrate intelligence and capabilities from interactions. Cognitive architecture should be able to represent elements from the short-term and long-term memories about the beliefs, goals, ideas and knowledge of the system. It should able to depict clearly the functional procedures that function based on the structures available in the system, which include both learning and performance mechanisms. Again, the beliefs associated with cognitive architecture could change in time, like the human mind.
Cognitive architecture helps in identifying the infrastructure necessary for an intelligent system. Some cognitive architecture is based on the-mind-is-like-a-computer rules, while some are based on generic rules. An ideal cognitive architecture should be capable of improving the decision-making ability via learning. It should be capable of developing plans and solving issues for intelligent systems to attain their goals. Unlike traditional artificial systems which are designed and function from rules and then learn, cognitive architecture employs bio-inspired techniques, especially for learning based on interactions.