Abstract
Copyright © ALIFE 2019.All rights reserved.Progress in molecular genetics allowed taxonomists to better understand the relationships between species without the bias of morphological similarities. However, access to data from times past is limited to the fossil archives which, being far from complete, can only provide limited information. To address this problem through the field of Artificial Life, we devised a polyvalent sexual reproduction scheme and an automated phylogenetic tool capable of producing, from a stream of genomes, hierarchical species trees with relatively low memory footprint. We assert that these apparatus perform well under reasonable stress by embedding them into 2D simulations of unsupervised plant evolution in textbook cases of geographical speciation. After thousands of generations and millions of plants, the extracted phylogenetic data not only showed the expected results in terms of branching pattern (anagenesis, cladogenesis) but also exhibited complex interactions between species both in space and time.
| Original language | English |
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| Title of host publication | Proceedings of the 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019 |
| Editors | H. Fellermann, J. Bacardit, A. Goni-Moreno, H. Fuchslin |
| Publisher | MIT Press |
| Pages | 349-356 |
| Publication status | Published - 2020 |
| Externally published | Yes |
| Event | 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019 - Newcastle upon Tyne, United Kingdom Duration: 29 Jul 2019 → 2 Aug 2019 |
Conference
| Conference | 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019 |
|---|---|
| Country/Territory | United Kingdom |
| City | Newcastle upon Tyne |
| Period | 29/07/19 → 2/08/19 |
Funding
Computations for this work were performed using HPC resources from CALMIP (Grant P16043).
| Funders | Funder number |
|---|---|
| CALMIP | P16043 |