- author = "Miguel Nicolau and Diego Perez-Liebana and Michael O'Neill and Anthony Brabazon",
- title = "Evolutionary Behavior Tree Approaches for Navigating Platform Games",
- journal = "IEEE Transactions on Computational Intelligence and AI in Games",
- year = "2016",
- volume = "9",
- number = "3",
- pages = "227--238",
- month = sep,
- keywords = "genetic algorithms, genetic programming, grammatical evolution, GE, Games, Artificial intelligence, Navigation, Benchmark testing, Hazards, Heuristic algorithms, Real-time systems, Autonomous agents, behavior trees (BTs), benchmarking, platform games, videogames",
-
URL = "
http://www.diego-perez.net/papers/EvBT.pdf",
-
DOI = "
10.1109/TCIAIG.2016.2543661",
- size = "12 pages",
- abstract = "Computer games are highly dynamic environments, where players are faced with a multitude of potentially unseen scenarios. In this paper, AI controllers are applied to the Mario AI benchmark platform, by using the grammatical evolution system to evolve behavior tree structures. These controllers are either evolved to both deal with navigation and reactiveness to elements of the game or used in conjunction with a dynamic A* approach. The results obtained highlight the applicability of behavior trees as representations for evolutionary computation and their flexibility for incorporation of diverse algorithms to deal with specific aspects of bot control in game environments.",
-
notes = "Also known as \cite{7435292} Mario AI
Journal renamed IEEE Transactions on Games.
UCD College of Business, University College Dublin, Dublin 4, Ireland",
