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 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.
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As Taught In: | Fall 2010 |
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Undergraduate
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Learning Resource Types
assignment
Problem Sets
grading
Exams
notes
Lecture Notes
assignment
Design Assignments
assignment_turned_in
Programming Assignments with Examples