Reputation

This repository contains early pre-alpha proof-of-concept developments and experiments for Reputation system of SingularityNET.

At the moment, the work is in early stage.

Any source forks and contributions make sense only in case if are made in tight collaboration with SingularityNET.

Any production use and use other than for experimental purposes is not encouraged and can be done only at ones own risk.

Contents

• Python Reputation Agency Service wrapper based on Aigents Java-based reputation engine
• Python Reputation Agency Service command line tool based on Aigents Java-based reputation engine
• Python native implementation of Reputation Agency Service
• Python simplistic simulation script
• Python extended simulation framework
• Auxiliary scripts for SigluarityNET Adapter integration

Development

These instructions are intended to facilitate the development and testing of SingularityNET Reputation System. Users interested in deploying the reputation system should install the appropriate binary as released.

Prerequisites

• Python/Pip
• Java 6 or later (needed for developments based on Aigents Java)
• Docker (Optional)

Installing

• Clone the git repository

$ git clone [email protected]:singnet/reputation.git
$ cd reputation

In case there are problems with the script above, one can try a more stable http approach:

$ git clone https://github.com/singnet/reputation.git
$ cd reputation

• Install dependencies in editable/development mode on your local machine

$ bash scripts/install

Aigents Server (required)

• Edit hosts file, adding the line with "127.0.0.1 localtest.com"

Mac: /private/etc/hosts
Linux: /etc/hosts
Windows: c:\WINDOWS\system32\drivers\etc\hosts 

Testing

• Launch unit tests

$ bash scripts/test

Resources

For more information, see the following.

• Reputation System Design for SingularityNET
• A Reputation System for Artificial Societies paper
• Reputation System for Online Communities paper (in Russian)
• Reputation Consensus and System for Liquid Democracy Governance video