Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Evolutionary Art and Computers
Evolutionary Art and Computers
Evolving neural networks through augmenting topologies
Evolutionary Computation
Compositional pattern producing networks: A novel abstraction of development
Genetic Programming and Evolvable Machines
Picbreeder: evolving pictures collaboratively online
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Competitive coevolution through evolutionary complexification
Journal of Artificial Intelligence Research
Evolving content in the galactic arms race video game
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Real-time neuroevolution in the NERO video game
IEEE Transactions on Evolutionary Computation
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Galactic Arms Race (GAR) is an indie video game developed by the Evolutionary Complexity Research Group (EPlex) at the University of Central Florida to demonstrate the potential for novel artificial intelligence (AI) technology to impact video games. In particular, the new technology in GAR is an evolutionary algorithm called content-generating neuroevolution of augmenting topologies (cgNEAT), which is designed to evolve unique game content as the game is played. GAR is a multi-player space shooter in which players fight with particle-system weapons. The unique feature of GAR is that the game continually introduces new such weapons evolved by the cgNEAT algorithm. The philosophy behind GAR is that one of the best ways to support the argument that novel AI algorithms can impact how games are made is to make a fun game that is not only an academic proof-of-concept, but also a genuinely entertaining experience for regular gamers.