Algorithmic Decision Theory: Lecture notes and presentation slides

Reference : Algorithmic Decision Theory: Lecture notes and presentation slides


	Document type :	Learning materials : Course notes
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/37933

Title :	Algorithmic Decision Theory: Lecture notes and presentation slides
Language :	English
Author, co-author :	Bisdorff, Raymond [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	28-May-2020
Edition :	Spring 2018
Institution :	UUniversity of Luxembourg
Course title or code :	MICS2 - 18 Algorithmic Decision Theory
Keywords :	[en] Operations Research ; MCDA ; Outranking approach
Abstract :	[en] The objective of this course is to introduce students to ADT, a new interdisciplinary field at the intersection of decision theory, discrete mathematics, theoretical computer science and artificial intelligence. ADT proposes new ideas, approaches and tools for supporting decision making processes in presence of massive databases, combinatorial structures, partial and/or uncertain information, and distributed, possibly inter-operating, decision makers. Such problems arise in several real-world decision making problems such as humanitarian logistics, epidemiology, risk assessment and management, e-government, electronic commerce, and the implementation of recommender systems
Research centres :	University of Luxembourg: High Performance Computing - ULHPC
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/37933

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	ADTCourse2020.zip	Version May 28 2020	Publisher postprint	16.61 MB	View/Open

All documents in ORBi^lu are protected by a user license.