EAN: 9783031004407

SYNTHESIS LECTURES ON ARTIFICIAL INTELLIGENCE A...

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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