Using GP to Model Contextual Human Behavior - Competitive with Human Modeling Performance

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

@InProceedings{fernlund:2004:lbp,
  author =       "Hans Fernlund and Avelino J. Gonzalez",
  title =        "Using GP to Model Contextual Human Behavior -
                 Competitive with Human Modeling Performance",
  booktitle =    "Late Breaking Papers at the 2004 Genetic and
                 Evolutionary Computation Conference",
  year =         "2004",
  editor =       "Maarten Keijzer",
  address =      "Seattle, Washington, USA",
  month =        "26 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2004/LBP015.pdf",
  abstract =     "To create a realistic environment, some simulations
                 require simulated agents with human behaviour pattern.
                 Creating such agents with realistic behavior can be a
                 tedious and time consuming work. This paper describes a
                 new approach that automatically builds human behaviour
                 models for simulated agents by observing human
                 performance. With an automatic tool that builds human
                 behavioral agents, the development cost and effort
                 could be dramatically reduced. This research
                 synergistically combines Context-Based Reasoning
                 (CxBR), a paradigm especially developed to model
                 tactical human performance within simulated agents,
                 with the Genetic Programming machine learning algorithm
                 able to construct the behaviour knowledge in accordance
                 to the CxBR paradigm. This synergistic combination of
                 AI methodologies has resulted in a new algorithm that
                 automatically builds simulated agents with human
                 behavior. This algorithm was exhaustively tested with
                 five different simulated agents created by observing
                 the performance of five humans driving an automobile
                 simulator. The agents show, not only the capabilities
                 to automatically learn and generalise the behaviour of
                 the human observed, but they also exhibited a
                 performance that was at least as good as that of agents
                 developed manually by a knowledge engineer.",
  notes =        "Part of \cite{keijzer:2004:GECCO:lbp}",
}

Genetic Programming entries for Hans Fernlund Avelino J Gonzalez

Citations