The astounding computing powers of the human brain have long captivated artificial intelligence (AI), but simulating these complex functions in AI systems continues to be a formidable obstacle. The intricacy of human brain computation surpasses existing AI capabilities due to its networked neurons processing information in parallel and its superior ability to learn from sensory inputs. Researchers have created a number of techniques and algorithms, including as neural networks, deep learning algorithms, and cognitive modelling approaches, to close this gap. The A3S (Arwin-Adang-Aciek-Sembiring) method is one such cutting-edge strategy that aims to mimic human brain computation for knowledge acquisition. The A3S approach continuously refreshes the system’s knowledge by recursively digesting sensory inputs.