Rethinking the Neutrality Axiom in Judgment Aggregation

Open Access
Authors
Publication date 2019
Host editors
  • N. Agmon
  • M.E. Taylor
  • E. Elkind
  • M. Veloso
Book title 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019)
Book subtitle Montreal, Canada 13-17 May 2019
ISBN
  • 9781510892002
ISBN (electronic)
  • 9781450363099
Event 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Volume | Issue number 4
Pages (from-to) 2212-2214
Publisher International Foundation for Autonomous Agents and Multiagent Systems
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
When aggregating the judgments of a group of agents, an important consideration concerns the fairness of the aggregation process. This is the fundamental idea behind the neutrality axiom in social choice theory: if two judgments enjoy the same support amongst the agents, either both or neither of them should be part of the collective decision. This is a reasonable requirement in many scenarios, but we argue that for scenarios in which agents are asked to judge very diverse kinds of propositions, the classical neutrality axiom is much too strong. We thus propose a family of weaker neutrality axioms, parametrised by binary relations between the propositions.
Document type Conference contribution
Note Extended abstract.
Language English
Published at https://staff.fnwi.uva.nl/u.endriss/pubs/files/TerzopoulouEndrissAAMAS2019.pdf https://dl.acm.org/doi/10.5555/3306127.3332061
Other links http://www.proceedings.com/50236.html
Downloads
TerzopoulouEndrissAAMAS2019 (Accepted author manuscript)
3306127.3332061 (Final published version)
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