Some Complexity Results for Distance-Based Judgment Aggregation

Judgment aggregation is a social choice method for aggregating information on logically related issues. In distance-based judgment aggregation, the collective opinion is sought as a compromise between information sources that satisfies several structural properties. It would seem that the standard conditions on distance and aggregation functions are strong enough to guarantee existence of feasible procedures. In this paper, we show that it is not the case, though the problem becomes easier under some additional assumptions.

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