Spawnling

A spawnling is a term used in the context of artificial intelligence and machine learning to refer to a newly created instance of a model or agent. This term is often used in evolutionary algorithms, reinforcement learning, and other forms of machine learning where models are iteratively improved or adapted. Spawnlings are typically generated through processes such as mutation, crossover, or other forms of variation, and they represent the next generation of models in the learning process. The term emphasizes the idea of reproduction and evolution, drawing an analogy to biological processes. Spawnlings are evaluated based on their performance, and those that meet certain criteria may be selected for further development, while others may be discarded. This iterative process of creating, evaluating, and selecting spawnlings is central to the training and improvement of machine learning models.