Information can be imparted according to structures which are not partitional. Partitions, however, are important because they characterize agents with the highest degree of rationality. This paper gives conditions for a partition to emerge asymptotically from possibility correspondences.
Dimitri, N. (1993). Learning Partitions. ECONOMICS LETTERS, 42(2-3), 195-199 [10.1016/0165-1765(93)90061-G].
Learning Partitions
DIMITRI, NICOLA
1993-01-01
Abstract
Information can be imparted according to structures which are not partitional. Partitions, however, are important because they characterize agents with the highest degree of rationality. This paper gives conditions for a partition to emerge asymptotically from possibility correspondences.
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https://hdl.handle.net/11365/405336