DagRep.4.5.27.pdf
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JA4AI – Judgment Aggregation for Artificial Intelligence (Dagstuhl Seminar 14202)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 4, Issue 5
Volume: Dagstuhl Reports, Volume 4
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2014-09-01
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Franz Dietrich, Ulle Endriss, Davide Grossi, Gabriella Pigozzi, and Marija Slavkovik. JA4AI – Judgment Aggregation for Artificial Intelligence (Dagstuhl Seminar 14202). In Dagstuhl Reports, Volume 4, Issue 5, pp. 27-39, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
https://doi.org/10.4230/DagRep.4.5.27
https://doi.org/10.4230/DagRep.4.5.27
Abstract
This report documents the programme and the outcomes of Dagstuhl Seminar 14202 on "Judgment Aggregation for Artificial Intelligence". Judgment aggregation is a new group decision-making theory that lies in the intersection of logic and social choice; it studies how to reach group decisions on several logically interconnected issues by aggregation of individual judgments. Until recently research in judgment aggregation was dominated by its originating context of philosophy, political science and law. Presently, however we are witnessing increasing work in judgment aggregation from researchers in computer science. Since researchers from such diverse disciplinary backgrounds working on judgment aggregation each publish within their own discipline with virtually no cross-discipline cooperation on concrete projects, it is essential that they are given an opportunity to connect to each other and become aware of the workings of the other side. This seminar has provided such an opportunity.
Keywords
- Judgment Aggregation
- Artificial Intelligence
- Computational Social Choice
- Collective Decision-making
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