Judgment Aggregation: A Primer
Grossi, Davide; Pigozzi, Gabriella (2014), Judgment Aggregation: A Primer, Morgan & Claypool Publishers, p. 151. http://dx.doi.org/10.2200/S00559ED1V01Y201312AIM027
Morgan & Claypool Publishers
Series titleSynthesis Lectures on Artificial Intelligence and Machine Learning
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Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)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.
Subjects / Keywordscollective decision-making
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Lang, Jérôme; Pigozzi, Gabriella; Slavkovik, Marija; van der Torre, Leendert; Vesic, Srdjan (2017) Article accepté pour publication ou publié