16.410 Principles of Autonomy and Decision Making


Class Info

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. Students taking graduate version complete additional assignments.

This class has 1.00, and 6.0002 as prerequisites.

16.410 will be offered this semester (Fall 2017). It is instructed by B. C. Williams.

Lecture occurs 9:30 AM to 11:00 AM on Mondays and Wednesdays in 33-419.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Principles of Autonomy and Decision Making site or on the 16.410 Stellar site.

MIT 16.410 Principles of Autonomy and Decision Making Related Textbooks
MIT 16.410 Principles of Autonomy and Decision Making On The Web
Principles of Autonomy and Decision Making
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