This First Year Seminar will introduce to Honors students cognitive roots to human intelligence, with a goal of designing artificial general intelligence. It will examine in-depth the concept of rationality in reasoning, memory, and decision making. What are the principles of rational
decision making? Can we teach machines to reason, in a way that understand us better than we do ourselves? Why are there different memory systems and how they support cognition? By in- class demonstrations of various pitfalls and failures of rationality of the human mind, this seminar aims to instigate students’ curiosity into cognitive science and machine intelligence, while exploring the intertwining topics of mind and cognition, machine intelligence, and mathematical reasoning.
The instructor strives to provide a supportive environment for self-motivated students who intend to pursue Cognitive Science, Mathematics, Physics, Computer Science, Neuroscience, etc, as they settle into their college life.
Course Requirements:
Performance assessment will be based on quizzes, short essays/reaction papers, and a final research paper with presentation.
Intended Audience:
The course is suited for students interested in artificial/machine intelligence with strong preparation for Calculus, Physics, Psychology, and/or Computer Science, in the form of AP classes/exams or equivalent academic experience in high school.
Students are incoming freshmen admitted into the LSA Honors Program.