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16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003

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Show simple item record Williams, Brian C. Sullivan, Greg
dc.coverage.temporal Fall 2003 2007-03-28T11:29:57Z 2007-03-28T11:29:57Z 2003-12
dc.identifier 16.410-Fall2003
dc.identifier.other 16.410
dc.identifier.other 16.413
dc.identifier.other IMSCP-MD5-d2d8e869ee4b551db620ce34ccbba524
dc.description.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 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. en
dc.language.iso en-US
dc.rights This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. en
dc.subject decision-making en
dc.subject reasoning en
dc.subject autonomous systems en
dc.subject decision support en
dc.subject algorithms en
dc.subject artificial intelligence en
dc.subject a.i. en
dc.subject operations research en
dc.subject logic en
dc.subject deduction en
dc.subject heuristic search en
dc.subject constraint-based search en
dc.subject model-based reasoning en
dc.subject planning en
dc.subject execution en
dc.subject uncertainty en
dc.subject machine learning en
dc.subject linear programming en
dc.subject dynamic programming en
dc.subject integer programming en
dc.subject network optimization en
dc.subject decision analysis en
dc.subject decision theoretic planning en
dc.subject Markov decision process en
dc.subject scheme en
dc.subject propositional logic en
dc.subject constraints en
dc.subject Markov processes en
dc.subject computational performance en
dc.subject satisfaction en
dc.subject learning algorithms en
dc.subject system state en
dc.subject state en
dc.subject plan spaces en
dc.subject model theory en
dc.subject decision trees en
dc.subject function approximators en
dc.subject optimization algorithms en
dc.subject limitations en
dc.subject tradeoffs en
dc.subject search and reasoning en
dc.subject game tree search en
dc.subject local stochastic search en
dc.subject stochastic en
dc.subject genetic algorithms en
dc.subject constraint satisfaction en
dc.subject propositional inference en
dc.subject rule-based systems en
dc.subject model-based diagnosis en
dc.subject neural nets en
dc.subject reinforcement learning en
dc.subject web-based en
dc.subject autonomy en
dc.subject search trees en
dc.subject 16.410 en
dc.subject 16.413 en
dc.subject.lcsh Decision making en
dc.title 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003 en
dc.title.alternative Principles of Autonomy and Decision Making en
dc.audience.educationlevel Graduate
dc.audience.educationlevel Undergraduate
dc.subject.cip 143701 en
dc.subject.cip Operations Research en

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