According to Roger Stanton, the field of cognitive science is fascinating for researchers who are interested in an all-encompassing area of study. Cognitive science, in the words of Roger Stanton, is the scientific study of the human brain across a number of research disciplines. Cognitive science spans several levels of analysis, from low-level learning to high-level logic. It contains elements of subjects such as anthropology, philosophy, psychology, mathematics, computer science and neuroscience. As a result, researchers can glean a well-rounded view of human learning and decision-making.
Throughout his career, Roger Stanton has been eager to explore the deep history of cognitive science and engage in greater understanding of this rich idiom. He points out that neuroscientist David Marr was a revolutionary figure in cognitive science and can be credited for advancing this area of study into the mainstream of educational research. Marr integrated a series of results from neurophysiology, artificial intelligence and psychology into new and enhanced models of visual processing. In the late 1960s, Marr developed a three-part hypothesis that now serves as the guiding principle in cognitive science. Under Marr’s hypothesis, the first level is computation, followed by representation and algorithm, and then implementation.
When first endeavoring into his research, Roger Stanton decided to choose a broad topic like cognitive science in order to pursue a wide range of projects. He has since focused his research in the specialty of category learning, which contains a significant body of pre-existing theoretical and empirical analyses. The research methods primarily used by Roger Stanton are computational modeling and behavioral experiments. In particular, he examines learning accuracy and response time measures in behavioral experiments and then uses computational models to account for this data. By observing how humans learn categories, Roger Stanton has gained greater insight into how the brain works and how the brain can be described with computational models.
