Abstract Large Language Models (LLMs) have taken the field of AI by storm, but their
adoption in the field of Artificial Life (ALife) has been, so far, relatively reserved. In this work …

In contrast to deep reinforcement learning agents, biological neural networks are grown
through a self-organized developmental process. Here we propose a new hypernetwork …

Information-theoretic fitness functions are becoming increasingly popular to produce
generally useful, task-independent behaviors. One such universal function, dubbed …

Although image classification networks such as ResNet have shown remarkable accuracy
across classification tasks, they experience significant performance degradation when …

Traditionally, deep convolutional neural networks are computationally expensive to train and
require large amounts of data samples. In this article, we explore the use of pre-trained …

In recent years, Cellular Automata have been merged with developments in deep learning to
replace the traditional update rules with a neural network. These Neural Cellular Automata …