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

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dc.contributor.author Williams, Brian C. en_US
dc.contributor.author Sullivan, Greg en_US
dc.coverage.temporal Fall 2003 en_US
dc.date.issued 2003-12
dc.identifier 16.410-Fall2003
dc.identifier local: 16.410
dc.identifier local: 16.413
dc.identifier local: IMSCP-MD5-d2d8e869ee4b551db620ce34ccbba524
dc.identifier.uri http://hdl.handle.net/1721.1/36896
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_US
dc.language en-US en_US
dc.rights.uri Usage Restrictions: 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_US
dc.subject decision-making en_US
dc.subject reasoning en_US
dc.subject autonomous systems en_US
dc.subject decision support en_US
dc.subject algorithms en_US
dc.subject artificial intelligence en_US
dc.subject a.i. en_US
dc.subject operations research en_US
dc.subject logic en_US
dc.subject deduction en_US
dc.subject heuristic search en_US
dc.subject constraint-based search en_US
dc.subject model-based reasoning en_US
dc.subject planning en_US
dc.subject execution en_US
dc.subject uncertainty en_US
dc.subject machine learning en_US
dc.subject linear programming en_US
dc.subject dynamic programming en_US
dc.subject integer programming en_US
dc.subject network optimization en_US
dc.subject decision analysis en_US
dc.subject decision theoretic planning en_US
dc.subject Markov decision process en_US
dc.subject scheme en_US
dc.subject propositional logic en_US
dc.subject constraints en_US
dc.subject Markov processes en_US
dc.subject computational performance en_US
dc.subject satisfaction en_US
dc.subject learning algorithms en_US
dc.subject system state en_US
dc.subject state en_US
dc.subject plan spaces en_US
dc.subject model theory en_US
dc.subject decision trees en_US
dc.subject function approximators en_US
dc.subject optimization algorithms en_US
dc.subject limitations en_US
dc.subject tradeoffs en_US
dc.subject search and reasoning en_US
dc.subject game tree search en_US
dc.subject local stochastic search en_US
dc.subject stochastic en_US
dc.subject genetic algorithms en_US
dc.subject constraint satisfaction en_US
dc.subject propositional inference en_US
dc.subject rule-based systems en_US
dc.subject model-based diagnosis en_US
dc.subject neural nets en_US
dc.subject reinforcement learning en_US
dc.subject web-based en_US
dc.subject autonomy en_US
dc.subject search trees en_US
dc.subject 16.410 en_US
dc.subject 16.413 en_US
dc.subject Decision making en_US
dc.title 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003 en_US
dc.title.alternative Principles of Autonomy and Decision Making en_US


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