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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.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Author/Creator:
- Freeman, Rupert.
- Series:
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 15248
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Computer science--Mathematics.
- Computer science.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Mathematics of Computing.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Mathematics of Computing.
- Physical Description:
- 1 online resource (306 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- 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. .
- Contents:
- Voting Theory
- Game Theory, Optimization, and Decision Making
- Preference Theory
- Allocations and Matching.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-73903-5
- OCLC:
- 1463769715
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