The idea that the intelligence of Nature may be embedded in fractals has already been stated by author, since 2016, as in 2, 4. This paper is expanding on previous papers of the author 1, 3, by providing an alternative intelligence model to complete the present model of A.I. This paper also introduces two new concepts: the concept of evolutionary fractal and the concept of procedural randomness. The intelligence model presented in this paper is based on the CSN Algorithm. This CSN Algorithm can be used, on one hand, to decrypt evolutionary fractals having unknown rules, and on the other, it can be used to simulate the way in which random creative processes occur. The CSN Algorithm simulates better how brain behaves, because when making scientific discoveries, often times, existing information is not processed as in classical A.I models, which are mostly deterministic, but it is processed aleatory by brain, in random processes, as in the model based on the CSN Algorithm. Decryption of these evolutionary fractals may be the key of understanding of human brain functioning and of human intelligence. The first step, however, is the decryption of evolutionary fractals related to more simple lifeforms, and only then, after the decryption at this first step, the decryption of the human intelligence may be addressed. The model presented in this paper can either be used as an entirely independent intelligence model to simulate human intelligence random creative processes, or it can be used to create enhanced intelligence models by joining the model presented in this paper, based on the CSN Algorithm together with the present classical model of A.I. In a further section of paper, other additional possible applications of this algorithm are presented.