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AI Agents and Multiagent Systems
COMPSCI 2882

Course Information

Description

This course explores the evolution and state-of-the-art of Autonomous Agents and Multiagent Systems. While the field originated decades ago, the advent of Large Language Models (LLMs) and modern AI has fundamentally transformed agent capabilities. This seminar-style course bridges the gap between foundational multiagent concepts—such as coordination, game theory, and competition—and contemporary developments in LLM-powered agents. Through lectures, student-led presentations of cutting-edge research, and invited speakers, students will examine how agents interact in complex environments and the implications for commercial and social impact. The course culminates in a final research project.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level Primarily for Graduate Students