Judgment aggregation : a primer

著者

• Grossi, Davide
• Pigozzi, Gabriella

書誌事項

Judgment aggregation : a primer

Davide Grossi, Gabriella Pigozzi

（Synthesis lectures on artificial intelligence and machine learning, #27）

Morgan & Claypool, c2014

• : pbk

注記

Including bibliographical references (p. 111- 127) and index

Series title on cover spelled "synthesis lectures on artifical intelligence and machine learning" in error.

内容説明・目次

内容説明

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.

目次

Preface Acknowledgments Logic Meets Social Choice Theory Basic Concepts Impossibility Coping with Impossibility Manipulability Aggregation Rules Deliberation Bibliography Authors' Biographies Index

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB16576752
• ISBN:
  • 9781627050876
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: [S.l.]
• ページ数/冊数: xvii,133 p.
• 大きさ: 24 cm
• 親書誌ID:
  • BA85080963