ACTR

ACT-R (Adaptive Control of Thought—Rational) is a cognitive architecture that models how the human mind processes information. It combines psychological theories with computer simulations to explain how we learn, remember, and solve problems. Essentially, ACT-R breaks down mental tasks into smaller components, such as memory, attention, and reasoning, and shows how these processes work together. Researchers use ACT-R to predict human behavior in various activities, like decision-making or language use, helping us understand the underlying mechanisms of cognition and improve design in education, technology, and artificial intelligence.