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Create experiments plan file
Based on our meeting today, these are the experiments which will be completed
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docs/experiments.md

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# Metrics and measures
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This is what should be measured each run. These runs can then be further aggregated for final metrics.
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### Fixed parameter runs
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- Population count (mean and std after warmup)
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- Cluster size distribution (means and stds after warmup)
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### Evolution runs
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- Population count (over time after warmup)
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- Cluster size distribution (over time after warmup)
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- Prey death rate (mean and std over time after warmup)
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# Experiments
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These phases should be completed sequentially, deepening our understanding at each step. The different experiments in each phase should be completed with data from the same runs.
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### Phase 1: finding the critical point
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- Create bifurcation diagram of mean population count, varying prey death rate
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- Look for critical transition
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- Create log-log plot of cluster size distribution, varying prey death rate
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- Look for power-law
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### Phase 2: sensitivity analysis
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- Show correlation between critical prey death rate and post-evolution prey death rate, varying other parameters
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- Look for self-organized criticality: an SOC-system should move towards the critical point regardless of other parameters
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- Show sensitivity of hydra effect varying other parameters
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### Phase 3: perturbation analysis
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- Create autocorrelation plot of mean population count, following perturbations around the critical point
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- Look for critical slowing down: perturbations to states closer to the critical point should more slowly return to the steady state
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### Phase 4: model extensions
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- Investigate whether hydra effect and SOC still occur with diffusion and directed movement

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