Eiben, E., Ganian, R. and Ordyniak, S. orcid.org/0000-0003-1935-651X (2018) A Structural Approach to Activity Selection. In: Lang, J., (ed.) International Joint Conferences on Artificial Intelligence Organization. International Joint Conferences on Artificial Intelligence Organization 2018, 13-19 Jul 2018, Stockholm. IJCAI , pp. 203-209. ISBN 978-0-9992411-2-7
Abstract
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 International Joint Conferences on Artificial Intelligence |
Keywords: | Agent-based and Multi-agent Systems: Coordination and Cooperation; Agent-based and Multi-agent Systems: Computational Social Choice |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Aug 2018 11:55 |
Last Modified: | 19 Dec 2022 13:50 |
Published Version: | http://www.ijcai.org/proceedings/2018/28 |
Status: | Published |
Publisher: | IJCAI |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133931 |