ACT-R (Adaptive Control of Thought—Rational) is a cognitive architecture that models human thought processes. Developed by John R. Anderson and his colleagues at Carnegie Mellon University, it combines elements of psychology and computer science to simulate how people learn, remember, and solve problems. The architecture consists of modules that represent different cognitive functions, such as memory and perception. By using production rules, ACT-R can mimic human behavior in various tasks, making it a valuable tool for researchers studying cognition and artificial intelligence.