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Course Info

  • Course Number / Code:
  • 16.413 (Fall 2005) 
  • Course Title:
  • Principles of Autonomy and Decision Making 
  • Course Level:
  • Undergraduate / Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Aeronautics and Astronautics 
  • Course Instructor(s):
  • Prof. Brian Williams
    Prof. Nicholas Roy 
  • Course Introduction:
  •  


  • 16.410 / 16.413 Principles of Autonomy and Decision Making



    Fall 2005




    Course Highlights


    This course features a complete set of lecture notes as well as the assignments and practice exams.


    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 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.


    Technical Requirements


    Special software is required to use some of the files in this course: .java.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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