28 February 2019, Computational Social Choice Seminar, Marija Slavkovik

Abstract

Judgment aggregation studies methods for aggregating individual opinions on logically related issues. So far, concrete aggregators have been proposed only for aggregating binary, or Boolean, judgments. However, opinion sources do not always provide binary judgments. Sometimes we have judgments expressing likelihood, not certainty, of whether a proposition is true. We here propose a framework and a first set of specific aggregation methods for aggregating likelihood judgments. Our aggregation methods are mainly obtained by generalizing known classic judgment aggregation methods that satisfy some essential desirable properties.

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