AAAI Publications, Twenty-Eighth AAAI Conference on Artificial Intelligence

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Binary Aggregation by Selection of the Most Representative Voters
Ulle Endriss, Umberto Grandi

Last modified: 2014-06-21

Abstract


In binary aggregation, each member of a group expresses yes/no choices regarding several correlated issues and we need to decide on a collective choice that accurately reflects the views of the group. A good collective choice will minimise the distance to each of the individual choices, but using such a distance-based aggregation rule is computationally intractable. Instead, we explore a class of low-complexity aggregation rules that select the most representative voter in any given situation and return that voter's choice as the outcome.

Keywords


Approximation; Judgment Aggregation

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