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  In the previous part, we designed the three-layer emotion model. Among its principles, one stands above the rest.  The variable called love does not exist in the system. There is no love += 1. Instead, love "emerges" from a combination of other variables. This is the core of this system and the biggest difference from conventional affection-meter systems. Why Love Should Never Be a Direct Variable When I discussed this topic with AI, it offered an interesting perspective. "Love is not on the same level as other emotions." Sadness, anger, jealousy, fear. These are momentary emotions. They rise or fall in response to specific events. But love is different. Love is closer to  the result of accumulated relationship interpretation  than a momentary emotion. Trust is high. Dependency exists. Intimacy has built up. There is a touch of jealousy. Fear of loss is present. The player repeatedly chooses the other person as a priority. The player reads this combination as ...

  Now it's time to design emotion in earnest. Having identified the limits of Affection+1, we need to build a system to replace it. I told AI: "I don't want a single affection variable. I want a variable system that represents human emotion more realistically." And this is where AI really started showing its strength. Structuring emotion — decomposing something abstract into variables and layers — is exactly the kind of work AI excels at. How Many Emotions Do We Need? That was the first question. "How many emotion variables should we have?" AI's answer was surprisingly cautious. "More isn't always better. Too many variables leads to overengineering." Then it proposed a crucial distinction: The types of emotion you express can be many. But the state values the system directly tracks must be structurally organized. What does that mean? Love, sadness, anger, arrogance, envy, jealousy, belief, trust, tension, conflict, fear, terror, admiration....