This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies.
What is “the mind” and what is artificial intelligence?
In this course, we will explore the history of cognitive science and the way these ideas shape how we think of artificial cognition.
Methods for Solving Problems
In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.
In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding.
Interpersonal, Developmental, and Evolutionary Perspectives of the Mind
In this course, we will explore how individual problem solving, judgment, and decision making can be influenced by interpersonal and developmental factors.