Aagmaal Code ^hot^ 99%

def acquire_knowledge(self, data): self.knowledge_base.update(data)

# Acquire knowledge aagmaal.acquire_knowledge({"data": np.random.rand()}) aagmaal code

# Make decision decision = aagmaal.make_decision() print(decision) This code snippet demonstrates a basic implementation of the AAGMAAL framework, including the AAG governance and MAAL learning components. Note that this is a highly simplified example, and actual implementations would require more complex logic and algorithms. def acquire_knowledge(self, data): self

class AAGMAAL: def __init__(self, problem_definition): self.problem_definition = problem_definition self.knowledge_base = {} self.aag_governance = AAGGovernance() self.maal_learning = MAALearning() aagmaal code

import numpy as np

def make_decision(self): # AAG governance and MAAL learning decision = self.aag_governance.assess(self.problem_definition, self.knowledge_base) decision = self.maal_learning.adapt(decision, self.knowledge_base) return decision

# Initialize AAGMAAL aagmaal = AAGMAAL("example problem")