Reactiveness and Navigation in Computer Games: Different Needs, Different Approaches

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Perez:2011:CIG,

• author = "Diego Perez and Miguel Nicolau and Michael O'Neill and Anthony Brabazon",
• title = "Reactiveness and Navigation in Computer Games: Different Needs, Different Approaches",
• booktitle = "Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games",
• year = "2011",
• address = "Seoul, South Korea",
• pages = "273--280",
• month = "31 " # aug # " - 3 " # sep,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, behaviour trees, Mario",
• URL = "http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper62.pdf",
• size = "8 pages",
• abstract = "This paper presents an approach to the Mario AI Benchmark problem, using the A* algorithm for navigation, and an evolutionary process combining routines for the reactiveness of the resulting bot. The Grammatical Evolution system was used to evolve Behaviour Trees, combining both types of routines, while the highly dynamic nature of the environment required specific approaches to deal with over-fitting issues. The results obtained highlight the need for specific algorithms for the different aspects of controlling a bot in a game environment, while Behaviour Trees provided the perfect representation to combine all those algorithms.",

}

Genetic Programming entries for Diego Perez-Liebana Miguel Nicolau Michael O'Neill Anthony Brabazon

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