Neurochain

Egger L. Mielberg

No 4kb5q, OSF Preprints from Center for Open Science

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].

Date: 2018-09-16
New Economics Papers: this item is included in nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5cd04c3c7788f50017a96020/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:4kb5q

DOI: 10.31219/osf.io/4kb5q

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().