Reference : Algorithmic Decision Theory: Lecture notes and presentation slides
Learning materials : Course notes
Engineering, computing & technology : Computer science
Computational Sciences
Algorithmic Decision Theory: Lecture notes and presentation slides
Bisdorff, Raymond mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Spring 2018
UUniversity of Luxembourg
MICS2 - 18 Algorithmic Decision Theory
[en] Operations Research ; MCDA ; Outranking approach
[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
University of Luxembourg: High Performance Computing - ULHPC
Researchers ; Professionals ; Students

File(s) associated to this reference

Fulltext file(s):

Open access
ADTCourse2020.zipVersion May 28 2020Publisher postprint16.61 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.