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Judgment aggregation is a mathematical theory of collective
decision-making. It concerns the methods whereby individual
opinions about logically interconnected issues of interest can, or
cannot, be aggregated into one collective stance. Aggregation
problems have traditionally been of interest for disciplines like
economics and the political sciences, as well as philosophy, where
judgment aggregation itself originates from, but have recently
captured the attention of disciplines like computer science,
artificial intelligence and multi-agent systems. Judgment
aggregation has emerged in the last decade as a unifying paradigm
for the formalization and understanding of aggregation problems.
Still, no comprehensive presentation of the theory is available to
date. This Synthesis Lecture aims at filling this gap presenting
the key motivations, results, abstractions and techniques
underpinning it. Table of Contents: Preface / Acknowledgments /
Logic Meets Social Choice Theory / Basic Concepts / Impossibility /
Coping with Impossibility / Manipulability / Aggregation Rules /
Deliberation / Bibliography / Authors' Biographies / Index
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