Assignment With Incomplete Information
Assignment with Incomplete Information is an assignment problem framework in which the agent-task valuation or preference data is partially unknown or uncertain, distinguishing it from standard assignment models by explicitly incorporating mechanisms to handle missing or probabilistic information in the allocation process.
158
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14.5K
Citations
310
Authors
198
Institutions
Publications per year
2017–2026
24
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158
The assignment game I: The core
Lloyd S. Shapley, Martín Shubik · International Journal of Game Theory · 1971 · 1.7K citations
Assignment Models of the Distribution of Earnings
Michael Sattinger · Journal of Economic Literature · 1993 · 826 citations
A New Solution to the Random Assignment Problem
Anna Bogomolnaia, Hervé Moulin · Journal of Economic Theory · 2001 · 766 citations
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Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
1.6K citations
Columbia University
New York, United States
4 h-index
5 publications
477 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
7 publications
874 citations
Stanford University
Stanford, United States
4 h-index
6 publications
167 citations
Yale University
New Haven, United States
4 h-index
4 publications
2K citations
University of Chicago
Chicago, United States
3 h-index
3 publications
62 citations
Politecnico di Torino
Turin, Italy
3 h-index
7 publications
181 citations
University of Zurich
Zurich, Switzerland
3 h-index
6 publications
98 citations
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14 publications · 2.2K citations
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JET · 7 publications · 1.5K citations
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