16.410 -- Principles of Autonomy and Decision Making
Course Description: Survey of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. Focus on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, and machine learning. Optimization paradigms include linear programming, integer programming, and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.

This class is at the Undergraduate level
This course is also known as: Subject meets with 16.413
Instructor: B. C. Williams, E. Frazzoli
Open Courseware Website
Prerequisites: 1.00, 6.001, or 16.04; 6.041 or 6.042

Back to Classes