D 2018

A Structural Approach to Activity Selection

EIBEN, Eduard, Robert GANIAN and Sebastian ORDYNIAK

Basic information

Original name

A Structural Approach to Activity Selection

Authors

EIBEN, Eduard (703 Slovakia), Robert GANIAN (203 Czech Republic, guarantor, belonging to the institution) and Sebastian ORDYNIAK (276 Germany)

Edition

USA, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI), p. 203-209, 7 pp. 2018

Publisher

ijcai.org

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/18:00106815

Organization unit

Faculty of Informatics

ISBN

978-0-9992411-2-7

ISSN

UT WoS

000764175400028

Keywords in English

treewidth; computational social choice; group activity selection problem; parameterized complexity

Tags

International impact, Reviewed
Změněno: 18/5/2022 10:35, Mgr. Michal Petr

Abstract

V originále

The general task of finding an assignment of agents to activities under certain stability and rationality constraints has led to the introduction of two prominent problems in the area of computational social choice: Group Activity Selection (GASP) and Stable Invitations (SIP). Here we introduce and study the Comprehensive Activity Selection Problem, which naturally generalizes both of these problems. In particular, we apply the parameterized complexity paradigm, which has already been successfully employed for SIP and GASP. While previous work has focused strongly on parameters such as solution size or number of activities, here we focus on parameters which capture the complexity of agent-to-agent interactions. Our results include a comprehensive complexity map for CAS under various restrictions on the number of activities in combination with restrictions on the complexity of agent interactions.