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COMP_SCI 496: AI Perspectives: Symbolic Reasoning to Deep Learning

Quarter Offered

Spring : TBD ; Alam

Prerequisites

Permission of instructor

Description

This is an interactive course designed to engage students in incisive and energetic discussions on different perspectives in Artificial Intelligence (AI), from classical AI approaches to recent advances in machine learning. The course will feature guest lectures by Northwestern professors from various disciplines offering their takes on AI: comparing symbolic reasoning and knowledge representation with the state of the art in deep learning, exploring cognition through psychology, neuroscience, and linguistics, looking at consciousness through the lens of philosophy, and more. Coursework will center on class participation: students will read research papers, view debates and debate views, and choose between small-scale exploratory projects and writing papers.

REQUIRED TEXTBOOK: N/A

COURSE COORDINATORMohammed A. Alam

COURSE INSTRUCTOR : Mohammed A. Alam

COURSE GOALS: The goal of the course is to give students a holistic view of the field of AI and to help them to ask and answer important questions in their own academic or industry pursuits in AI: Will intelligence be an emergent property of neural networks? Should cognitive architectures utilize knowledge representations instead? What would a hybrid system look like that combines the two approaches? Is there a novel approach that departs altogether from the familiar? The course expects to invigorate students with an enthusiasm about AI that may help them to move the field forward.

DETAILED COURSE TOPICS:

ASSIGNMENTS: