Evolution of Tool Use Behavior

摘要

This paper focuses on the capability of artificial evolution to produce tool use behaviors of different complexity in simulated robotic agents and in the absence of learning or other lifetime methods. The results show by example that tool use behaviors of different complexity can evolve and do not necessarily rely on reasoning abilities