📄️ PredPreyGrass
This page describes the conceptual mapping. For the actual trial-by-trial results — what has been tried, what worked, and what remains open — see the Darwin/Baldwin Trial Log.
📄️ Energy and Entropy in PredPreyGrass
Energy flows through the simulated ecosystem from grass to prey to predator, and — as in any real physical system — that flow is one-directional. Energy is never recycled, only degraded, in line with the second law of thermodynamics. This page explains how that plays out in the current implementation of the base environment.
📄️ What Counts as Evolution in PredPreyGrass?
Populations can change over time for more than one reason, and it matters which one is doing the work. This page draws a precise line between three kinds of change that can look similar from the outside — ecological population dynamics, within-lifetime learning, and true Darwinian selection — and uses it to say exactly what each PredPreyGrass variant implements.
📄️ Challenges of Multi-Agent Reinforcement Learning in PredPreyGrass
Multi-agent reinforcement learning is a promising tool for studying emergent behavior, but it is genuinely harder than single-agent RL, not just a bigger version of it. Building PredPreyGrass surfaces most of the field's core difficulties in a concrete form.