MEMORIZATION AND FORGETTING IN THE N-SCHEME OF THE MARKOV ALGORITHM

Abstract

The methods of memorization and forgettingin the N-scheme of the Markov algorithm synthesized to replace its wellknown Y-scheme are investigated. It is noted that in the theory of Markov algorithms, the occurrences of words into each other are considered as a “mechanical connection” of words outside the context of the purpose of such connections, therefore there is no goal setting for memorizing and forgetting words. It isestablished that several criteria (reasons) for memorizing and forgetting words can be distinguished. It is shownthat it is advisable to generalize these within the framework of the N-scheme of the Markov algorithm. A method of memorizing and forgetting words using a special cycle and the possibility of recovery is proposed. A method of memorizing and forgetting words using thresholds for the meaning and type of morphism is synthesized. The method of memorizing and forgetting several words by time is given. The method of memorizing and forgetting words by the value of induction is presented. A refinement of the alphabet of control commands K is carried out, it is shown that these also form the alphabet of an artificial language, which can be considered as the Markov alphabet AK–+2. A method of memorizing and forgetting several words is proposed. A method of memorizing and forgetting several words according to a fragment pattern has been synthesized. The method of restoring the forgotten and deleting the remembered is given. It is established that the N-scheme of the Markov algorithm has a wide range of methods for memorizing and forgetting data. This data can be used to detect the risks of laundering the proceeds of crime and the financing of terrorism. An artificial language of many socio-economic systems has been synthesized in the Markov alphabet AK–+2. Compositions of ways of remembering and forgetting form the necessary tools for searching, selecting and monitoring socio-economic systems in order to counter money laundering and terrorist financing. It is advisable to synthesize a big data protocol, which includes formalized descriptions of ways of remembering and forgetting.