Minds, Brains, and Machines

Undergraduate

Leibniz compared the brain to a mill, Freud to a hydraulic system, and now we think of it as a computer. Have we gotten it right? If so, what kind of computer is the brain? And what kind of software is the mind? This course explores these questions by integrating classical and cutting-edge findings from artificial intelligence, cognitive science, neuroscience, philosophy, and psychology. In this course you learn how modern artificial intelligence works—including deep neural networks, program synthesis, and neuro-symbolic approaches. You learn how to think about artificial intelligence from the perspectives of cognitive science and neuroscience. And you learn how current advances in AI are helping us understand how the mind and brain works. Conversely, you also learn how advances in psychology and neuroscience have played a key role in the biggest ideas in AI. This course is ideal for a variety of students: Psychology and cognitive science majors that want to learn about AI. CS students that want to know how to think about AI from a cognitive perspective. And anyone who wants to know how to think critically about all the advances in the study of minds, brains, and machines. Students are strongly encouraged to have taken either Introduction to Psychology (PSYC 110), or Introduction to Cognitive Science (CGSC 110). Introduction to Computer Science (CPSC 201) is also ideal. SO TTh 4pm-5:15pm