Advances towards a General-Purpose Societal-Scale Human-Collective Problem-Solving Engine

TL;DR

This paper proposes a new framework and method for developing societal-scale human-collective problem-solving engines, leveraging social-network theory to enhance collective intelligence in large populations.

Contribution

It introduces a novel framework for collective intelligence systems and a social-network-based method for implementing representative and expertise systems.

Findings

A new framework for societal-scale collective problem-solving

A social-network theory-based method for expertise representation

Potential to significantly enhance societal collective intelligence

Abstract

Human collective intelligence has proved itself as an important factor in a society's ability to accomplish large-scale behavioral feats. As societies have grown in population-size, individuals have seen a decrease in their ability to activeily participate in the problem-solving processes of the group. Representative decision-making structures have been used as a modern solution to society's inadequate information-processing infrastructure. With computer and network technologies being further embedded within the fabric of society, the implementation of a general-purpose societal-scale human-collective problem-solving engine is envisioned as a means of furthering the collective-intelligence potential of society. This paper provides both a novel framework for creating collective intelligence systems and a method for implementing a representative and expertise system based on social-network theory.