Judgment aggregation is a formal theory reasoning about how a group of agents can aggregate individual judgments on connected propositions into a collective judgment on the same propositions. Three procedures for successfully aggregating judgments sets are: premise-based procedure, conclusion-based procedure and distance-based merging. The conclusion-based procedure has been little investigated because it provides a way to aggregate the conclusions, but not the premises, thus it outputs an incomplete judgment set. The goal of this paper is to present a conclusion-based procedure outputting complete judgment sets. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Pigozzi, G., Slavkovik, M., & Van Der Torre, L. (2009). A complete conclusion-based procedure for judgment aggregation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5783 LNAI, pp. 1–13). https://doi.org/10.1007/978-3-642-04428-1_1
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