Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reputation System for Online Communities (in Russian)   Understanding the principles of consensus in communities and finding ways to
optimal solutions beneficial for entire community becomes crucial as the speeds
and scales of interaction in modern distributed systems increase. Such systems
can be both social and information computer networks that unite the masses of
people as well as multi-agent computing platforms based on peer-to-peer
interactions including those operating on the basis of distributed ledgers. It
is now becoming possible for hybrid ecosystems to emerge, having such systems
including both humans and computer systems using artificial intelligence. We
propose a new form of consensus for all of the listed systems, based on the
reputation of the participants, calculated according to the principle of
"liquid democracy". We believe that such a system will be more resistant to
social engineering and reputation manipulation than the existing systems. In
this article, we discuss the basic principles and options for implementing such
a system, and also present preliminary practical results.

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The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
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The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an