Evolature Theory
Intelligence is...
What is intelligence?
Ask this question to ten different psychologists who call themselves experts in the field of intelligence and hear ten significantly different answers.
Ask this question to ten AI-experts and get ten more bizarre new opinions. All definitions will have the following common features: they are all voluminous, vague, very different and, most importantly, fundamentally wrong.
Until now, there has not been a clear and unambiguous answer to this question, despite the existence of many theories and hypotheses.
For a century and a half, scientists (mainly psychologists, occasionally philosophers) have been studying this difficult object for understanding, using multifactorial concepts
to detect interdependencies between various parameters that are assumed to be properties of intelligence.
At the moment, it is difficult to count the number of different "types" of intelligence found by psychologists:
agile, crystallized, social, emotional, biological, psychometric, linguistic, musical,
logical-mathematical, spatial, bodily-kinesthetic, interpersonal, intrapersonal, naturalistic,
existential and many others ...
But there is only one small problem: psychology has not answered the question, what is intelligence. Given that terminology is the foundation of science.
We believe that the main reason lies in the erroneous anthropocentric approach to the study of intelligence. The psychology toolkit was not sophisticated enough and more sharpened
for the study of such complex research object. Intelligence is a much more voluminous concept.
The development of computer technology and the emergence of the prospects for machine intelligence have used the most powerful mathematical tools.
And today we have fantastic neural networks on the one hand, which are not intelligence, at least in the model in which they exist now,
and, on the other hand, Roger Penrose's hypothesis that human thinking is fundamentally impossible to algorithmize, from which the conclusion follows
impossibility of "artificial intelligence".
Alan Turing proved that in the list of all possible algorithms leading to the solution of the problem there will certainly be no algorithm that establishes,
whether some arbitrary algorithm will lead to a solution.
In other words, mathematicians have proven that intelligence is not an algorithm. And this is undeniable. But mathematics did not give an answer what intelligence is.
Evolature
The UETI theory was able to give an accurate and unambiguous answer to the fundamental question "What is intelligence?"
For the explanation, we had to introduce a new term, since the terminology known to us could not fully describe the essence of this fundamental mechanism.
"Evolature" is a new term, it is the core of intelligence and distinguishes intellectual structures from any other.
The main sign of intelligence is the presence of evolature.
We have discovered several types of evolatures in nature.
Extrapolating the evolution of evolatures further, we managed to reach the incredible and mind-blowing type of evolature and it seems that it is the largest theretically possible intellectual structure.
Evolature, and hence intelligence, is absent in modern neural networks, which confirms the thesis that modern artificial neural networks are an extremely effective algorithm for nonlinear optimization
but nothing more. No matter how huge your neural network is, it will not become intelligence.
