ADT-2021, proceedings of the 10th Conference on Algorithmic Decision Theory

The 10th International Conference on Algorithmic Decision Theory (ADT 2021) was held at the Université Toulouse 1 Capitole from November 2 to 5, organized by the LILAC team of IRIT. ADT 2021 was one of the first international conferences in hybrid format, with 63 on-site and 27 online participants. Europe and Israel were among the main countries of origin of the on-site participants. The program included three invited speakers and 27 presentations of selected papers, including presentations by researchers from Japan, Australia and the United States delivered via Zoom. The massive presence of PhD students (35 participants in total) is to be underlined thanks also to a dedicated day before the conference, proposing two tutorials and short presentations by the participants.

The ADT 2021 conference focused on algorithmic decision theory in a broad sense. The ambition was to bring together researchers and practitioners from various fields of computer science, economics and operations research to improve the theory and practice of modern decision support. Conference topics focused on research in algorithms, argument theory, artificial intelligence, computational social choice, database systems, decision analysis, discrete mathematics, game theory, machine learning, matching, multi-agent systems, multi-criteria decision support, networks, optimization, risk management and utility theory.