The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Computational Aspects of Cooperative Game Theory
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Citations
Cites
Reinforcement Learning: An Introduction
(2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 24,496
Theory of games and economic behavior
(2019) · 100 Years of Math Milestones · doi:10.1090/mbk/121/32 · Cited by 16,632
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
COUNTERSPECULATION, AUCTIONS, AND COMPETITIVE SEALED TENDERS
Vickrey, W. (1961) · The Journal of Finance · doi:10.1111/j.1540-6261.1961.tb02789.x · Cited by 7,722
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Puterman, M. L. (1994) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316887 · Cited by 6,024
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Watkins, C. (1989) · OpenGrey (Institut de l'Information Scientifique et Technique) · doi:10.17863/cam.132164 · Cited by 5,297
Perfect Equilibrium in a Bargaining Model
Rubinstein, A. (1982) · Econometrica · doi:10.2307/1912531 · Cited by 5,264
Shapley, L. S. (1988) · The Shapley Value · doi:10.1017/cbo9780511528446.003 · Cited by 4,954
Planning and acting in partially observable stochastic domains
Kaelbling, L. P., Littman, M. L., & Cassandra, A. R. (1998) · Artificial Intelligence · doi:10.1016/s0004-3702(98)00023-x · Cited by 4,149
Cited by
Shapley values for feature selection: the good, the bad, and the axioms
Fryer, D., Strumke, I., & Nguyen, H. (2021) · IEEE Access · doi:10.1109/access.2021.3119110 · Cited by 347
The Shapley Value in Machine Learning
Rozemberczki, B., Watson, L., Bayer, P., Yang, H.-T., Kiss, O., Nilsson, S., & Sarkar, R. (2022) · arXiv · doi:10.48550/arxiv.2202.05594 · Cited by 312
Multi-Agent Risks from Advanced AI
Hammond, L., Chan, A., Clifton, J., Hoelscher-Obermaier, J., Khan, A., McLean, E., Smith, C., Barfuss, W., Foerster, J., Gavenčiak, T., et al. (2025) · arXiv · doi:10.48550/arxiv.2502.14143 · Cited by 305
Metadata
- Authors
- Chalkiadakis, G., Elkind, E., & Wooldridge, M.
- Venue
- Synthesis Lectures on Artificial Intelligence and Machine Learning
- Publisher
- Springer International Publishing
- Published
- 2012
- ISSN
- 1939-4608 (ISSN-L)
- 1939-4616
- OpenAlex
- W2102152964
- Cited by
- 337
- References
- 111
- FWCI
- 49.48
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Computational Aspects of Cooperative Game Theory. https://app.cochat.ai/papers/10.1007/978-3-031-01558-8
- The paper
- Chalkiadakis, G., Elkind, E., & Wooldridge, M. (2012). Computational Aspects of Cooperative Game Theory. Synthesis Lectures on Artificial Intelligence and Machine Learning. https://doi.org/10.1007/978-3-031-01558-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
