Computers and Structures
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
The Journal of Machine Learning Research
Competitions @ WCCI-2008: simulated car racing competition
ACM SIGEVOlution
The 2007 IEEE CEC simulated car racing competition
Genetic Programming and Evolvable Machines
Evolving competitive car controllers for racing games with neuroevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Robust player imitation using multiobjective evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
On-line neuroevolution applied to the open racing car simulator
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Artificial intelligence in racing games
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Learning drivers for TORCS through imitation using supervised methods
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
A modular parametric architecture for the TORCS racing engine
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Controller for TORCS created by imitation
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Evolving driving controllers using genetic programming
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Interactive evolution for the procedural generation of tracks in a high-end racing game
Proceedings of the 13th annual conference on Genetic and evolutionary computation
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Search-based procedural content generation
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Cross-Layer Optimization for State Update in Mobile Gaming
IEEE Transactions on Multimedia
| Hi-index | 0.00 |
Modern racing games offer a realistic driving experience and a vivid game environment. Accordingly, developing this type of games involves several challenges and requires a large amount of game contents. Computational intelligence represents a promising technology to deal effectively with such challenges and, at the same time, to reduce the cost of the development process. In this paper, we provide an overview of the most relevant applications of computational intelligence methods in the domain of racing games. In particular, we show that computational intelligence can be successfully applied (i) to develop highly competitive non-player characters,(ii) to design advanced racing behaviors such as overtaking maneuvers, and (iii) to automatically generate tracks and racing scenarios.