Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol

TL;DR

This paper explores a multi-agent system for crowd-sourcing high-quality predictions through microservices with economic incentives, aiming to develop a scalable Prediction Web for supply chain optimization.

Contribution

It introduces a novel multi-agent microservice framework with economic self-interest for crowd-sourced predictions, including empirical insights and future development directions.

Findings

Empirical lessons on deploying microservice agents in a firm.

Agents embody statistical models with economic incentives.

Potential for creating a scalable Prediction Web.

Abstract

A multi-agent system is trialed as a means of crowd-sourcing inexpensive but high quality streams of predictions. Each agent is a microservice embodying statistical models and endowed with economic self-interest. The ability to fork and modify simple agents is granted to a large number of employees in a firm and empirical lessons are reported. We suggest that one plausible trajectory for this project is the creation of a Prediction Web.