16.410 | Fall 2010 | Undergraduate
Principles of Autonomy and Decision Making
Course Description

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research.

Reasoning paradigms …

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is 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.

Learning Resource Types
assignment Problem Sets
grading Exams
notes Lecture Notes
assignment Design Assignments
assignment_turned_in Programming Assignments with Examples
Image combining data taken by an autonomous vehicle with the views from its windows.
The planning algorithm of Talos, the MIT entry to the DARPA Urban Challenge, in action. See Lecture 15 for more information. (Image by Emilio Frazzoli.)