Identifying Desirable Game Character Behaviours through the Application of Evolutionary Algorithms to Model-Driven Engineering Metamodels

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Williams:2011:SSBSE,
  author =       "James R. Williams and Simon Poulding and 
                 Louis M. Rose and Richard F. Paige and Fiona A. C. Polack",
  title =        "Identifying Desirable Game Character Behaviours
                 through the Application of Evolutionary Algorithms to
                 Model-Driven Engineering Metamodels",
  year =         "2011",
  booktitle =    "Search Based Software Engineering",
  editor =       "Myra Cohen and Mel O'Cinneid",
  volume =       "6956",
  series =       "Lecture Notes in Computer Science",
  pages =        "112--126",
  address =      "Szeged, Hungary",
  month =        "10-12 " # sep,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  isbn13 =       "978-3-642-23715-7",
  DOI =          "doi:10.1007/978-3-642-23716-4_13",
  abstract =     "This paper describes a novel approach to the
                 derivation of model-driven engineering (MDE) models
                 using metaheuristic search, and illustrates it using a
                 specific engineering problem: that of deriving computer
                 game characters with desirable properties. The
                 character behaviour is defined using a human-readable
                 domain-specific language (DSL) that is interpreted
                 using MDE techniques. We apply the search to the
                 underlying MDE metamodels, rather than the DSL
                 directly, and as a result our approach is applicable to
                 a wide range of MDE models. An implementation developed
                 using the Eclipse Modelling Framework, the most
                 widely-used tool set for MDE, is evaluated. The results
                 demonstrate not only the derivation of characters with
                 the desired properties, but also the identification of
                 unexpected features of the behavioural description
                 language and the game itself.",
  affiliation =  "Department of Computer Science, University of York,
                 UK",
  notes =        "super awesome street fighter 4000",
}

Genetic Programming entries for James R Williams Simon M Poulding Louis M Rose Richard F Paige Fiona A C Polack

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