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Principles of Autonomy and Decision Making, Fall 2003

Principles of Autonomy and Decision Making, Fall 2003

This course surveys a variety of reasoning, optimization, and decision-making methodologies for ... (more)

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 applications, 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, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information technology, and graduate (16.413) students. (less)

Subject:
Science and Technology
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Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Williams, Brian
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Subject:
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
George Kocur
Remix and Share