Open Ended Evolutionary System

Open-ended evolutionary systems (OEES) aim to create artificial systems that exhibit sustained, unbounded generation of novelty and complexity, mirroring the characteristics of biological evolution. Current research focuses on developing computational models, such as cellular automata (like Lenia) and artificial chemistries (including spatial and non-spatial variants), often employing Quality-Diversity algorithms to guide the search for diverse and complex structures. These efforts aim to understand the fundamental mechanisms driving open-endedness, potentially informing our understanding of biological evolution and leading to advancements in fields like artificial intelligence and robotics through the creation of adaptable and innovative systems.