Organism Networks
Reference
- Illium, S., Zorn, M., Kölle, M., Linnhoff-Popien, C., and Gabor, T. 2022. Constructing Organism Networks from Collaborative Self-Replicators. arXiv preprint arXiv:2212.10078.
This work delves into the concept of self-replicating neural networks, focusing on how backpropagation facilitates the emergence of complex, self-replicating behaviors.
By evaluating different network types, the study highlights the natural emergence of robust self-replicators and explores their behavior in artificial chemistry environments.
A significant extension over a previous version, this research offers a deep analysis of fixpoint weight configurations and their attractor basins, advancing the understanding of neural network self-replication.
For more detailed insights, refer to [Illium et al. 2022].
