| Title: |
Causality in Multi-Agent Systems |
| Authors: |
Kerkhove, Sylvia S.; Sub Intelligent Systems; Vorobeychik, Yevgeniy; Das, Sanmay; Nowe, Ann |
| Publication Year: |
2025 |
| Subject Terms: |
Causality; Multi-Agent Systems; Strategic Behaviour; Artificial Intelligence; Software; Control and Systems Engineering |
| Description: |
Over the last couple of years, causality has become of bigger interest to the AI community. It has, among other things, been used to generate explanations of black-box models. Despite this interest, research into causality in strategic multi-agent systems settings has been lacking. This project intends to develop methods to study causality in multi-agent systems, with the goal of determining accountability of system outcomes. In order to do this, we first discuss what we understand by causality. We then introduce a first attempt at developing a causal model for a strategic multi-agent setting. Finally, we discuss how causal questions could be answered more efficiently using abstraction techniques. |
| Document Type: |
book part |
| File Description: |
application/pdf |
| Language: |
English |
| ISSN: |
1548-8403 |
| Relation: |
https://dspace.library.uu.nl/handle/1874/482992 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/482992 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.932D0EC2 |
| Database: |
BASE |