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Neurochain

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  • Mielberg, Egger L.

Abstract

In a system where there are tons of information of different types it is always hard and frequently impossible to tie the effect to the cause. There is also a challenge to find relevant data quickly, especially in case of absence of classification algorithm that is capable of working with different fields of business and science in parallel. We propose a mechanism for building a network of associative chains that are decentralized to each other. The network allows its participants to build quickly an associative chain from “effect-to-cause”. This feature of the network is extremely useful for identification of a scam activity. The mechanism is based on two technologies, “Smart Transactions” [1] and “Proof of Participation Protocol” [2].

Suggested Citation

  • Mielberg, Egger L., 2018. "Neurochain," OSF Preprints 4kb5q_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:4kb5q_v1
    DOI: 10.31219/osf.io/4kb5q_v1
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