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Institution:
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Brown University
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Subject:
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Description:
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This course surveys recent developments in an emerging area known as game-theoretic artificial intelligence (AI), which incorporates fundamental principles of game theory into AI. Research in this area is motivated by game-theoretic applications, such as auction design and voting, as well as AI application areas, such as multiagent systems. Students will conduct theoretical, empirical, and experimental investigations, asking fundamental questions such as: can the behavior of computational learning agents converge to game-theoretic equilibria? Prerequisite: Consent of instructor.
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Credits:
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1.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(401) 863-1000
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Semester
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