September 20-23, 2016
Greece
Computer games not only offer a killer application for computational intelligence (CI), machine learning and search but also provide a compelling domain where problem solving and decision making meet artifact creation; both of which can be experienced via a highly immersive, complex and rich interaction. Additionally, methods from computational intelligence promise to have a big impact on game technology and development, assisting designers and developers and enabling new types of computer 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 ! directio ns in this field. The annual IEEE Conference on Computational Intelligence and Games (IEEE CIG) is one of the premier international conferences in the field of computational intelligence and games.
Learning in games
Neural-based approaches for games
Co-evolution in games
Fuzzy-based approaches for games
Tree search approaches for games
Player/Opponent modeling
CI/AI-based game design
CI/AI-assisted game design
CI for player affective modeling
Player experience
Procedural content generation
CI/AI for game generation
Intelligent interactive narrative
Character development and narrative
CI/AI for virtual cinematography
CI for non-player characters
Multi-agent and multi-strategy learning
Applications of game theory
General game playing
Theoretical or empirical analysis of CI techniques for games
Comparative studies and game-based benchmarking
Computational and artificial intelligence in (non-inclusive list):
Console and PC games
Board and card games
Economic or mathematical games
Serious games
Realistic games for simulation or training
Augmented and mixed-reality games
Games for mobile platforms
Imperfect information and non-deterministic games
Evolutionary games