The Human Behavior Patterns Project

This project aims to explore human cooperative behavior by Artificial Intelligence at two complementary levels:

• Nature → Evolving cooperation over generations by selection

• Nurture → Learning to cooperate within lifetime

Display 1: Shaping of (cooperative) behavior by Nature and Nurture

Rather than prescribing cooperative behavior through reward engineering, we investigate the minimal ecological, interactional, and selection constraints under which cooperative behavior emerges in a multi-agent ecosystem. We explicitly treat life time experience (nurture) and evolutionary selection (nature) as dynamically intertwined processes with feedback loops rather than separable explanatory categories:

• Evolution shapes learning capacities.

• Learning reshapes ecological structure.

• Ecological structure reshapes selection gradients.

Therefore, human cooperative behavior could be viewed as contemporary action based upon ancestral hardware. The origins of curent human cooperative behavior is a blend of events in history ranging from millions of years in the past until split seconds ago, as shown in Display 1 and Display 2.

Display 2: Nature and Nurture as fundamentals of behavior