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Principles of Autonomy and Decision Making, Fall 2010

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Author:
,
Subject:
Science and Technology, Social Sciences
Institution Name:
M.I.T.
Collection:
MIT OpenCourseWare
Grade Level:
Post-secondary
Abstract:

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.

Languages:
English
Material Type:
Assessments, Full Course, Homework and Assignments, Lecture Notes, Readings, Syllabi
Media Format:
Text/HTML, Downloadable docs
Conditions of Use:
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Copyright Holder:
Massachusetts Institute of Technology

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