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
Resistance Maintained in Digital Organisms despite Guanine/Cytosine-Based Fitness Cost and Extended De-Selection: Implications to Microbial Antibiotics Resistance
Clarence FG Castillo, Zhu En Chay, Maurice HT Ling
On the Liveliness of Artificial Life
Yong Zher Koh, Maurice HT Ling
An Artificial Life Simulation Library Based on Genetic Algorithm, 3-Character Genetic Code and Biological Hierarchy
Maurice HT Ling