Evolutionary Play

Evolutionary Play is a concept from artificial intelligence and game theory where agents learn and adapt their strategies over time through a process similar to biological evolution. They experiment with different behaviors, evaluate their success, and gradually refine their actions to perform better in their environment or against other agents. This process mirrors natural evolution, with successful strategies "surviving" and less effective ones being replaced or discarded. It helps systems develop sophisticated, adaptive behaviors without explicit programming for every situation, leading to more resilient and intelligent decision-making in complex, dynamic environments.