Learning tactical human behavior through observation of human performance

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@Article{FGGD06,
  author =       "Hans K. G. Fernlund and Avelino J. Gonzalez and 
                 Michael Georgiopoulos and Ronald F. DeMara",
  title =        "Learning tactical human behavior through observation
                 of human performance",
  journal =      "IEEE Transactions on Systems, Man and Cybernetics,
                 Part B",
  volume =       "36",
  number =       "1",
  month =        feb,
  year =         "2006",
  pages =        "128--140",
  keywords =     "genetic algorithms, genetic programming, inference
                 mechanisms, knowledge representation, learning
                 (artificial intelligence), software agents,
                 context-based reasoning, human performance observation,
                 knowledge acquisition, tactical agent development,
                 tactical human behavioural learning, tactical knowledge
                 elicitation, tactical knowledge representation,
                 Context-based reasoning, human behavioral modeling,
                 simulation",
  ISSN =         "1083-4419",
  URL =          "http://www.cal.ucf.edu/journal/j_fernlund_gonzalez_itsmc_04.pdf",
  DOI =          "doi:10.1109/TSMCB.2005.855568",
  size =         "13 pages",
  abstract =     "It is widely accepted that the difficulty and expense
                 involved in acquiring the knowledge behind tactical
                 behaviours has been one limiting factor in the
                 development of simulated agents representing
                 adversaries and teammates in military and game
                 simulations. Several researchers have addressed this
                 problem with varying degrees of success. The problem
                 mostly lies in the fact that tactical knowledge is
                 difficult to elicit and represent through interactive
                 sessions between the model developer and the subject
                 matter expert. This paper describes a novel approach
                 that employs genetic programming in conjunction with
                 context-based reasoning to evolve tactical agents based
                 upon automatic observation of a human performing a
                 mission on a simulator. we describe the process used to
                 carry out the learning. A prototype was built to
                 demonstrate feasibility and it is described herein. The
                 prototype was rigorously and extensively tested. The
                 evolved agents exhibited good fidelity to the observed
                 human performance, as well as the capacity to
                 generalise from it.",
  notes =        "INSPEC Accession Number:8736964

                 Dept. of Culture, Dalarna Univ., Borlange, Sweden",
}

Genetic Programming entries for Hans Fernlund Avelino J Gonzalez Michael Georgiopoulos Ronald F DeMara

Citations