Computational Social Choice
- Turnus / Umfang:
- Wintersemester 2024/2025 / 4 SWS (6 ECTS)
- Wintersemester 2024/2025 / 4 SWS (6 ECTS)
- Dozent:
- Dr. Yongjie Yang
- Dr. Yongjie Yang
- Zusammenfassung:
- This course will explore a range of collective decision-making methodologies used in various contexts. It will focus on three main aspects: (1) How do various rules work? (2) What are the key considerations and criteria involved in designing these decision-making rules? (3) What are the important combinatorial problems related to these rules, and are there efficient algorithms to solve them?
- This course will explore a range of collective decision-making methodologies used in various contexts. It will focus on three main aspects: (1) How do various rules work? (2) What are the key considerations and criteria involved in designing these decision-making rules? (3) What are the important combinatorial problems related to these rules, and are there efficient algorithms to solve them?
- Gliederung:
- Introduction
- Voting systems
- Structured preferences
- Participatory
- Judgement aggregation
- Tournament solutions
- Hedonic games
- Multiagent resource allocation
- Literatur:
- Tovey, C. A. (2002): Tutorial on Computational Complexity. Interfaces 32: 30–61.
- Downey, R. (2012): A Parameterized Complexity Tutorial. in LATA.
- Cygan, M., et al. (2015): Parameterized Algorithms. Springer.
- Brandt, F., et al. (2016): Handbook of Computational Social Choice. Cambridge University Press.
- Elkind, E., et al. (2022): Preference Restrictions in Computational Social Choice: A Survey.
- Elkind, E., et al. (2017): Properties of Multiwinner Voting Rules. Soc. Choice Welf. 48(3): 599–632.
- Yang, Y. (2019): On the Tree Representations of Dichotomous Preferences. in IJCAI: 644-650.
- Lackner, M., Skowron, P. (2023): Multi-Winner Voting with Approval. Springer-Verlag.
- Aziz, H., et al. (2019): Fractional Hedonic Games. ACM Trans. Economics and Comput. 7(2): 6:1-29.
- Link zur Veranstaltung: