arXiv cs.NE
· Papers
Directing Open-Ended Evolution in Artificial Life via Multi-Scale Path Divergence
arXiv:2606.17091v2 Announce Type: replace Abstract: Open-ended evolution (OEE) in artificial life is typically driven by uninterpretable, black-box neural-network complexity metrics, leaving life-like systems disconnected from physical theories of complexity. We introduce MSPD (Multi-Scale Path Divergence, denoted $D_P