Aggregation of Continuous Preferences in One Dimension

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00375089" target="_blank" >RIV/68407700:21240/24:00375089 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.24963/ijcai.2024/304" target="_blank" >https://doi.org/10.24963/ijcai.2024/304</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24963/ijcai.2024/304" target="_blank" >10.24963/ijcai.2024/304</a>

Result language

angličtina

Original language name

Aggregation of Continuous Preferences in One Dimension

Original language description

We develop a general, formal model of social choice in which voters have continuous preferences over a one-dimensional space. Our model is parameterized by different restrictions that we introduce regarding the way voter preferences change in time as well as the optimization criteria (that correspond to a normative continuum of fairness definitions) desired from an aggregation method—that outputs a continuous, one-dimensional curve—given such inputs. We discuss the applicability of the model to different real-world situations and, as a first step towards an analysis of the different model realizations, we concentrate on identifying those cases that are computationally feasible to compute.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 33rd International Joint Conference on Artificial Intelligence

ISBN

978-1-956792-04-1

ISSN

1045-0823

e-ISSN

—

Number of pages

9

Pages from-to

2748-2756

Publisher name

International Joint Conferences on Artificial Intelligence Organization

Place of publication

—

Event location

Jeju

Event date

Aug 3, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001347142802096