Reputation systems for human-computer environments

Understanding the principles of consensus in communities and finding ways to find solutions to the optimal community as a whole becomes crucial as the speeds and scales of interaction in modern distributed systems increase. Such systems can be both socially-information computer networks that unite the masses of people, and multi-agent computing platforms, including peer-to-peer systems such as blockchains, operating on the basis of distributed ledger. Finally, it is now becoming possible for hybrid ecosystems to emerge, which include both humans and computer systems using artificial intelligence. We propose a new form of consensus for such systems, based on the reputation of the participants, calculated according to the principle of "fluid democracy". We expect 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.