LIPIcs.ITCS.2025.80.pdf
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Diversity in Evolutionary Dynamics (Extended Abstract)
Authors
Yuval Rabani 
,
Leonard J. Schulman ,
Alistair Sinclair
-
Part of:
Volume:
16th Innovations in Theoretical Computer Science Conference (ITCS 2025)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Innovations in Theoretical Computer Science Conference (ITCS) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2025-02-11
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Yuval Rabani, Leonard J. Schulman, and Alistair Sinclair. Diversity in Evolutionary Dynamics (Extended Abstract). In 16th Innovations in Theoretical Computer Science Conference (ITCS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 325, pp. 80:1-80:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
https://doi.org/10.4230/LIPIcs.ITCS.2025.80
Abstract
Since this paper is under journal submission, we publish only an extended abstract here. A full version can be found at https://arxiv.org/abs/2406.03938.
Subject Classification
ACM Subject Classification
- Applied computing → Population genetics
- Theory of computation → Algorithmic game theory
Keywords
- Mathematical models of evolution
- replicator dynamics
- weak selection
- genetic diversity
- game theory
- dynamical systems
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References
- T Nagylaki. The evolution of multilocus systems under weak selection. Genetics, 134(2):627-647, June 1993. URL: https://doi.org/10.1093/genetics/134.2.627.
- Georgios Piliouras and Leonard J. Schulman. Learning dynamics and the co-evolution of competing sexual species. In Anna R. Karlin, editor, 9th Innovations in Theoretical Computer Science Conference, ITCS 2018, January 11-14, 2018, Cambridge, MA, USA, volume 94 of LIPIcs, pages 59:1-59:3. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018. URL: https://doi.org/10.4230/LIPICS.ITCS.2018.59.