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Introduce BehavioralModel and TestBrain classes for behavior modeling
2025-06-09 17:06:44 -05:00

42 lines
1.2 KiB
Python

from world.behavorial import BehavioralModel
class TestBrain(BehavioralModel):
def __init__(self):
super().__init__()
# Define input keys
self.inputs = {
'distance': 0.0, # Distance from a food object
'angle': 0.0 # Relative angle to a food object
}
# Define output keys
self.outputs = {
'acceleration': 0.0, # Linear acceleration
'angular_acceleration': 0.0 # Angular acceleration
}
self.weights = {
'distance': 1.0,
'angle': 1.0
}
def tick(self, input_data) -> dict:
"""
Process inputs and produce corresponding outputs.
:param input_data: Dictionary containing 'distance' and 'angle' values
:return: Dictionary with 'acceleration' and 'angular_acceleration' values
"""
# Update internal input state
self.inputs['distance'] = input_data.get('distance', 0.0)
self.inputs['angle'] = input_data.get('angle', 0.0)
# Initialize output dictionary
output_data = {
'acceleration': 0.0,
'angular_acceleration': 0.0
}
return output_data