Computational Intelligence and Games

The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field. Topics of interest are include, but are not limited to:

  • Learning in games
  • Coevolution in games
  • Neural-based approaches for games
  • Fuzzy-based approaches for games
  • Console and video games
  • Character Development and Narrative
  • Player/Opponent modeling in games
  • CI/AI-based game design
  • Multi-agent and multi-strategy learning
  • Comparative studies
  • Applications of game theory
  • Board and card games
  • Economic or mathematical games
  • Imperfect information games
  • Non-deterministic games
  • Evasion (predator/prey) games
  • Realistic games for simulation or training
  • Player satisfaction in games