Paper: Decryption of Evolutionary Fractals by means of Procedural Randomness generated with an Intelligence Model based on the CSN Algorithm

This paper is expanding on previous work of the author, 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

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