Experiments with neurotoxin

config/env/20241110-neurotoxin.toml

@@ -0,0 +1,42 @@
+n_initial_agents = 100
+n_max_agents = 240
+n_max_foods = 160
+n_food_sources = 2
+observe_food_label = true
+food_num_fn = [
+    ["linear", 20, 0.2, 120],
+    ["linear", 20, 0.2, 40],
+]
+food_loc_fn = ["uniform", "uniform"]
+food_color = [[254, 2, 162, 255], [2, 254, 162, 255]]
+food_energy_coef = [1.0]
+agent_loc_fn = "uniform"
+xlim = [0.0, 480.0]
+ylim = [0.0, 480.0]
+env_shape = "square"
+neighbor_stddev = 100.0
+n_agent_sensors = 24
+sensor_length = 200.0
+sensor_range = "wide"
+agent_radius = 10.0
+food_radius = 4.0
+foodloc_interval = 1000
+dt = 0.1
+linear_damping = 0.8
+angular_damping = 0.6
+max_force = 80.0
+min_force = -20.0
+init_energy = 80.0
+energy_capacity = 400.0
+force_energy_consumption = 1e-5
+basic_energy_consumption = 5e-4
+energy_share_ratio = 0.4
+n_velocity_iter = 6
+n_position_iter = 2
+n_physics_iter = 5
+max_place_attempts = 10
+n_max_food_regen = 10
+toxin_t0 = 5.0
+toxin_alpha = 1.0
+toxin_decay = 0.01
+toxin_delta = 10.0

experiments/cf_simple.py

@@ -499,7 +499,7 @@ def replay(
     videopath: Path | None = None,
     start: int = 0,
     end: int | None = None,
-    cfconfig_path: Path = PROJECT_ROOT / "config/env/20231214-square.toml",
+    cfconfig_path: Path = DEFAULT_CFCONFIG,
     env_override: str = "",
 ) -> None:
     with cfconfig_path.open("r") as f: