The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Handbook of Computational Social Choice
Open accessAbstract
The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field's major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book.
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Citations
Cites
Axioms of Cooperative Decision Making
Moulin, H. (1988) · doi:10.1017/ccol0521360552 · Cited by 1,279
Self-citation
Cited by
Society-in-the-loop: programming the algorithmic social contract
Rahwan, I. (2018) · Ethics and Information Technology · doi:10.1007/s10676-017-9430-8 · Cited by 553
Lee, M. K., & Baykal, S. (2017) · Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing · doi:10.1145/2998181.2998230 · Cited by 182
Social choice ethics in artificial intelligence
Baum, S. D. (2020) · AI & SOCIETY · doi:10.1007/s00146-017-0760-1 · Cited by 158
Envisioning Communities: A Participatory Approach Towards AI for Social Good
Bondi, E., Xu, L., Acosta-Navas, D., & Killian, J. A. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3461702.3462612 · Cited by 115
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Cabitza, F., Campagner, A., & Basile, V. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i6.25840 · Cited by 114
Open Problems in Cooperative AI
Dafoe, A., Hughes, E., Bachrach, Y., Collins, T., McKee, K. R., Leibo, J. Z., Larson, K., & Graepel, T. (2020) · arXiv · doi:10.48550/arxiv.2012.08630 · Cited by 93
A Survey of Reinforcement Learning from Human Feedback
Kaufmann, T., Weng, P., Bengs, V., & Hüllermeier, E. (2023) · arXiv · doi:10.48550/arxiv.2312.14925 · Cited by 43
Loss Functions, Axioms, and Peer Review
Noothigattu, R., Shah, N., & Procaccia, A. (2021) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.12554 · Cited by 28
Metadata
- Authors
- Moulin, H.
- Venue
- HAL (Le Centre pour la Communication Scientifique Directe)
- Publisher
- Cambridge University Press
- Published
- 2016-04-25
- OpenAlex
- W2484891765
- Cited by
- 408
- References
- 1
- FWCI
- 66.77
- Type
- book
- Language
- en
- Open access
- green
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