Representation Matters: Characterisation and Impossibility Results for Interval Aggregation

Open Access
Authors
Publication date 2022
Host editors
  • L. De Raedt
Book title Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
Book subtitle IJCAI 2022, Vienna, Austria, 23-29 July 2022
ISBN (electronic)
  • 9781956792003
Event 31st International Joint Conference on Artificial Intelligence, IJCAI 2022
Pages (from-to) 286-292
Number of pages 7
Publisher International Joint Conferences on Artificial Intelligence
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

In the context of aggregating intervals reflecting the views of several agents into a single interval, we investigate the impact of the form of representation chosen for the intervals involved. Specifically, we ask whether there are natural rules we can define both as rules that aggregate separately the left and right endpoints of intervals and as rules that aggregate separately the left endpoints and the interval widths. We show that on discrete scales it is essentially impossible to do so, while on continuous scales we can characterise the rules meeting these requirements as those that compute a weighted average of the endpoints of the individual intervals.

Document type Conference contribution
Language English
Published at https://doi.org/10.24963/ijcai.2022/41
Downloads
0041-1 (Final published version)
Permalink to this page
Back