Reputation System for Online Communities (in Russian)
Anton Kolonin, Ben Goertzel, Deborah Duong, Matt Ikle, Nejc Znidar

TL;DR
This paper proposes a reputation-based consensus system inspired by liquid democracy principles, aiming to enhance resistance to manipulation in online communities and hybrid human-AI ecosystems.
Contribution
It introduces a novel reputation system for consensus in diverse distributed systems, including social, informational, and multi-agent networks, based on liquid democracy.
Findings
Preliminary practical results demonstrate system feasibility.
The proposed system shows increased resistance to social engineering.
Potential for broad application in hybrid human-AI communities.
Abstract
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…
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Taxonomy
TopicsBlockchain Technology Applications and Security
