Aagmaal Code Here

class MAALearning: def adapt(self, decision, knowledge_base): # Meta-learning logic return decision + np.random.rand()

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

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 class MAALearning: def adapt(self