Intelligence and life have been understood in most cases within the framework of artificial intelligence (AI). The framework of AI here is a framework that considers the relationship between two qualitatively different concepts as understanding. Autopoiesis, a model of life, relates the inside and outside of a system in a self-referential way, and the brain, a model of intelligence, is understood as the center that relates various parts to the whole. AI is a type of machine learning that relates unorganized data to organized data. What about swarm intelligence? There too, collective behavior relates individuals to society. All of them are merely restatements of self-reference that relate parts to the whole, and inside to the outside. There is no creativity to go outside these original two concepts.
Emotions can be thought of as politics that suppress individual processing at the lower level through top-down commands. This emergence of emotion = politics does not occur in the framework of AI. Bateson described the gentle bite in animal society as a negation of aggression. An attack is an intense relationship between two logical concepts, enemy and ally. If this were all, it would be nothing more than a variation of self-reference. However, here, there is both an attack and a negation of the attack. If an attack is not presupposed, a soft bite never means a negation of the attack. In other words, a gentle bite is an attack that accepts and relates to both the enemy and the ally and at the same time makes both meaningless. It results in politics=emotion that avoids violence. It was created outside the binary opposition of enemy and ally.
The Natural Born Intelligence (NBI) we are proposing can be considered a generalization of this system of gentle biting, different from a double bind. NBI is an intelligence that simultaneously establishes a positive antinomy that accepts both parties that constitute a binary opposition and a negative antinomy, and summons the outside of the binary opposition. As mentioned above, it can be understood that a simple attack or an AI framework remains a positive antinomy and lacks a negative antinomy.
NBI can be found not only in societies but in brains, animal groups, and even simpler chemical reaction systems. It can be exemplified as a system that uses quantum logic to operate with fluctuations external to quantum logic. The positive antinomy of different Hilbert spaces is quantum entanglement, and ignoring this and accepting fluctuations that go back and forth between different Hilbert spaces is negative antinomy. When both are accepted, quantum logic breaks down, but if one still tries to use quantum logic while maintaining its logicality, then conversely, extremely large fluctuations will be summoned from the outside. They can be thought of as a kind of quantum coherence that resonates with the movements of different Hilbert spaces. When applying the framework of NBI to neurons, there is no doubt that the emergence of emotions = politics can also be understood by using fluctuations external to quantum theory.
