In a moment, an experience is shaped. This experience has the signature of your emotions on it, which leads to your memory remembering that moment.

Empathy can play as a vital substrate for the brain of the computer. If we want to create an AI who can have its own experience while learning, acting, or thinking, we must enable it to understand the weight. Reasoning, action and memory are all derivatives that we developed by using empathy as principal decider of course of process. As we know decision-making is a process in humans that are largely developed by our emotions. Even our logical side will chip in a decision, but emotions finalize the decision into its final form. As we know emotions mark it in our memory because no matter what people say, or how they say, what you really remember is how they made you feel.

For an ideal system, the brain reasoning must have an empathy substrate to dampen and stabilize any learning process. In our framework, empathy is formalized as the alignment between two internal routes that being cognitive inference and affective resonance. By applying to the same input, we can measure that alignment residual. Using this substrate, we want to address stable reasoning and alignment under incompleteness.