# Neural Integrated Capability
# Created: 2025-10-24 22:17:47.268914

class EmotionRegulationAI:
    def __init__(self):
        self.emotional_states = {}
        self.decision_making = []
    
    # Method to learn emotions based on past interactions and their outcomes
    def learn_emotional_state(self, emotion, outcome):
        if emotion not in self.emotional_states:
            self.emotional_states[emotion] = []
        self.emotional_states[emotion].append(outcome)
    
    # Method to reason about emotions and their outcomes for decision-making
    def infer_decision(self, emotion):
        if emotion in self.emotional_states:
            return max(set(self.emotional_states[emotion]), key=self.emotional_states[emotion].count)
        
    # Method to plan and adapt based on emotions for improved decision-making
    def regulate_emotion(self, emotion):
        self.decision_making.append("regulating " + emotion)