no code implementations • 16 Apr 2024 • Matthew Andres Moreno, Connor Yang, Emily Dolson, Luis Zaman
Continuing improvements in computing hardware are poised to transform capabilities for in silico modeling of cross-scale phenomena underlying major open questions in evolutionary biology and artificial life, such as transitions in individuality, eco-evolutionary dynamics, and rare evolutionary events.
no code implementations • 16 Apr 2024 • Matthew Andres Moreno
Complexity is a signature quality of interest in artificial life systems.
no code implementations • 2 Feb 2024 • Alexander Lalejini, Marcos Sanson, Jack Garbus, Matthew Andres Moreno, Emily Dolson
We introduce phylogeny-informed subsampling, a new class of subsampling methods that exploit runtime phylogenetic analyses for solving test-based problems.
no code implementations • 6 Jun 2023 • Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez, Emily Dolson
Thus far, phylogenetic analyses have primarily been applied as post-hoc analyses used to deepen our understanding of existing evolutionary algorithms.
1 code implementation • 10 Aug 2021 • Matthew Andres Moreno, Alexander Lalejini, Charles Ofria
Genetic programming and artificial life systems commonly employ tag-matching schemes to determine interactions between model components.
no code implementations • 1 Aug 2021 • Matthew Andres Moreno, Santiago Rodriguez Papa, Alexander Lalejini, Charles Ofria
Event-driven genetic programming representations have been shown to outperform traditional imperative representations on interaction-intensive problems.
no code implementations • 20 Apr 2021 • Matthew Andres Moreno, Charles Ofria
These digital cells were allowed to form and replicate kin groups by selectively adjoining or expelling daughter cells.
1 code implementation • 16 Dec 2020 • Alexander Lalejini, Matthew Andres Moreno, Charles Ofria
We demonstrate the functionality of tag-based regulation on a range of program synthesis problems.