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###Experimental Results
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## Experimental Results
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This document summarizes the key findings from the predator-prey cellular automaton experiments exploring the Hydra effect and self-organized criticality.
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The prey cluster size distributions were analyzed at the transition point to test for SOC. SOC theory predicts a power law distribution.
The log-log plot shows the probability distribution of prey cluster sizes at the critical point. Visual inspection suggests approximate power law scaling with $$\alpha \approx 2.29$$.
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We enabled per-cell evolution of the prey death parameter. Each prey individual carries its own ```prey_death_rate``` value. The offsprings inherit their parents value with Gaussian mutation. Evolution occurs during the warmup steps, then frozen for the measurement.
**Left panel**: All parameter combinations exhibiting the Hydra effect.
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**Right panel**: Curves truncated at the maximum derivative point, isolating the rising (Hydra) portion. Color indicates the maximum positive derivative—darker blue corresponds to steeper initial increases.
**Left panel (Strong Hydra, coef > 15)**: Extremely sharp peaks with quadratic coefficients reaching 49–98. However, the curves are notably noisier than the undirected case, with irregular trajectories.
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**Right panel (Moderate Hydra, coef 5–10)**: More variable behavior compared to undirected hunting. Some curves show multiple peaks or irregular shapes.
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