IEEE Task Force

Swarm Intelligence in Games

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Welcome to the home of the IEEE Task Force responsible for researching Swarm Intelligence in Games.

The latest community news is available on the right. Use the navigation on the top of the page to browse to more specific resources, including lists of groups performing games research, descriptions of any related projects, links to applicable publications and more information on the members of the task force.

In addition to keeping the community updated on new events, links to more general swarm intelligence resources will be regularly maintained.

Feel free to contact us if you are interested in working in this exciting problem domain.

News

 
Site launched! 2007-11-03
 

The Swarm Intelligence in Games website was launched today. The site aims to become the primary on-line source for information on the study of swarm intelligence applied to the games domain.

Games are defined in broad terms to include:

  • Board and card games.
  • Economic and mathematical games.
  • Imperfect information and non-deterministic games.
  • Predator/Prey games.
  • Console and more realistic simulation games.

Some of the research focuses on:

  • Learning and adaptation in games.
  • Knowledge-free and self-learning in games.
  • Theoretical and empirical analysis of swarm intelligence algorithms and representations for games.
  • Multi-agent and multi-strategy learning.

From a swarm intelligence perspective, the key algorithms involved in conducting the games research are:

  • Ant Colony Optimization.
  • Particle Swarm Optimization.
  • Swarm-based Neural Networks.
  • Swarm-based Coevolution.