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Related Experiment Video

Updated: Oct 15, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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A constructive model for collective intelligence.

Wei Zhang1, Hong Mei1

  • 1Key Laboratory of High Confidence Software Technology (Peking University), Ministry of Education, China.

National Science Review
|October 25, 2021
PubMed
Summary

This study explores collective intelligence (CI) from natural phenomena to build artificial CI systems for enhanced human collaboration online. It proposes a model using AI for information integration and feedback in problem-oriented CI.

Area of Science:

  • Artificial intelligence
  • Collective intelligence
  • Human-computer interaction

Background:

  • Natural collective intelligence (CI) phenomena offer insights into large-scale collaboration.
  • Existing CI understanding provides a foundation for artificial CI development.

Purpose of the Study:

  • To propose a constructive model for artificial CI systems.
  • To leverage CI principles for effective cyberspace collaboration.
  • To integrate AI for information processing in artificial CI.

Main Methods:

  • Conceptual model development based on CI principles.
  • AI-powered information integration and feedback mechanisms.
  • Focus on problem-oriented CI phenomena.

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Main Results:

  • A proposed model for constructing artificial CI systems.
  • Demonstrated potential for enhanced human collaboration in cyberspace.
  • Framework for AI-driven information management in CI.

Conclusions:

  • Artificial CI systems can be built by modeling natural CI.
  • AI integration is key for effective information processing in artificial CI.
  • This approach facilitates scalable human collaboration in digital environments.