Artificial Life
Artificial life (ALife) is a field of research exploring the fundamental principles of life through computational models and simulations, aiming to understand how life emerges and evolves. Current research focuses on developing increasingly sophisticated ALife models, including cellular automata, neural cellular automata, and agent-based systems, often employing evolutionary algorithms and deep learning techniques to study phenomena like self-replication, open-ended evolution, and collective behavior. These studies contribute to a deeper understanding of biological systems and inform the development of novel problem-solving approaches in areas such as robotics and artificial intelligence, while also providing insights into the nature of life itself.
Papers
From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
Eleni Nisioti, Claire Glanois, Elias Najarro, Andrew Dai, Elliot Meyerson, Joachim Winther Pedersen, Laetitia Teodorescu, Conor F. Hayes, Shyam Sudhakaran, Sebastian Risi
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata Ecosystems
Aidan Barbieux, Rodrigo Canaan