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Algorithmic Decision Theory : 8th International Conference, ADT 2024, New Brunswick, NJ, USA, October 14–16, 2024, Proceedings / edited by Rupert Freeman, Nicholas Mattei

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Artificial Intelligence ; 15248Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XI, 302 p. 39 illus., 26 illus. in color.)ISBN:
  • 9783031739033
Subject(s): Additional physical formats: 9783031739026 | 9783031739040 | Erscheint auch als: 9783031739026 Druck-Ausgabe | Erscheint auch als: 9783031739040 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-3-031-73903-3Online resources: Summary: Voting Theory -- Game Theory, Optimization, and Decision Making -- Preference Theory -- Allocations and Matching.Summary: This book constitutes the conference proceedings of the 8th International Conference on Algorithmic Decision Theory, ADT 2024, held in New Brunswick, NJ, USA, during October 14-16, 2024. The 18 full papers and 8 one-page abstracts presented were carefully selected from 39 submissions. The papers cover most of the major aspects of algorithmic decision theory, such as preference modeling and elicitation, voting, preference aggregation, fair division and resource allocation, coalition formation, game theory, and matching. .PPN: PPN: 1906405034Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC
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