Rate-Independent Continuous Inhibitory Chemical Reaction Networks Are Turing-Universal
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63742-1_8
Reference8 articles.
1. Angluin, D., Aspnes, J., Eisenstat, D.: Fast computation by population protocols with a leader. Distrib. Comput. 21(3), 183–199 (2008). Preliminary version appeared in DISC 2006
2. Bournez, O., Graça, D.S., Pouly, A.: Polynomial time corresponds to solutions of polynomial ordinary differential equations of polynomial length. J. ACM 64(6) (2017). https://doi.org/10.1145/3127496
3. Chen, H.L., Doty, D., Reeves, W., Soloveichik, D.: Rate-independent computation in continuous chemical reaction networks. J. ACM 70(3) (2023). https://doi.org/10.1145/3590776
4. Cooper, C., Lamani, A., Viglietta, G., Yamashita, M., Yamauchi, Y.: Constructing self-stabilizing oscillators in population protocols. Inf. Comput. 255, 336–351 (2017)
5. Fages, F., Le Guludec, G., Bournez, O., Pouly, A.: Strong turing completeness of continuous chemical reaction networks and compilation of mixed analog-digital programs. In: International Conference on Computational Methods in Systems Biology, pp. 108–127. Springer (2017)
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