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Updated: May 20, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Simulating multiple character interactions with collaborative and adversarial goals.

Hubert P H Shum1, Taku Komura, Shuntaro Yamazaki

  • 1RIKEN, 2-1 Hirosawa, Wako, Saitama, Japan, 351- 0198. hubertshum@riken.jp

IEEE Transactions on Visualization and Computer Graphics
|July 31, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel animation synthesis method for multiple characters in dense environments. It balances character competition and animator-defined goals for realistic and complex scene generation.

Related Experiment Videos

Last Updated: May 20, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Area of Science:

  • Computer Graphics
  • Artificial Intelligence
  • Animation

Background:

  • Synthesizing realistic multi-character interactions in dense environments is challenging.
  • Balancing agent competition with animator-defined constraints requires sophisticated control.

Purpose of the Study:

  • To develop a new methodology for synthesizing animations of multiple characters.
  • To enable intelligent competition among characters in dense environments while meeting animator requirements.

Main Methods:

  • Extending min-max search for strategic game principles.
  • Separately evaluating competition and collaboration scores for interaction.
  • Integrating scores to select actions maximizing both criteria.

Main Results:

  • Successfully synthesized animations with competing characters in dense settings.
  • Demonstrated efficient production of complex scenes like sports and martial arts.
  • Enabled animations that adhere to story lines and environmental constraints.

Conclusions:

  • The proposed method effectively balances character competition and animator control.
  • It offers a powerful tool for creating dynamic and goal-oriented multi-character animations.
  • Applicable to various scenarios requiring complex, constrained character behaviors.