Evolving models from observed human performance

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

@PhdThesis{Fernlund:thesis,
  author =       "Hans Karl Gustav Fernlund",
  title =        "Evolving models from observed human performance",
  school =       "Electrical Engineering and Computer Science,
                 University of Central Florida",
  year =         "2004",
  address =      "Orlando, Fla., USA",
  month =        "Spring Term",
  keywords =     "genetic algorithms, genetic programming, Context based
                 reasoning, CxBR, Human behavioral modeling, Learning by
                 observation, Simulation",
  URL =          "http://phdtree.org/pdf/25573933-evolving-models-from-observed-human-performance/",
  URL =          "http://purl.fcla.edu/fcla/etd/CFE0000013",
  URL =          "http://purl.fcla.edu/fcla/etd/CFE0000013/Fernlund_Hans_K_200405_PhD.pdf",
  size =         "234 pages",
  abstract =     "To create a realistic environment, many simulations
                 require simulated agents with human behavior patterns.
                 Manually creating such agents with realistic behavior
                 is often a tedious and time-consuming task. This
                 dissertation describes a new approach that
                 automatically builds human behaviour models for
                 simulated agents by observing human performance. The
                 research described in this dissertation synergistically
                 combines Context-Based Reasoning, a paradigm especially
                 developed to model tactical human performance within
                 simulated agents, with Genetic Programming, a machine
                 learning algorithm to construct the behavior knowledge
                 in accordance to the paradigm. This synergistic
                 combination of well-documented AI methodologies has
                 resulted in a new algorithm that effectively and
                 automatically builds simulated agents with human
                 behaviour.

                 This algorithm was tested extensively with five
                 different simulated agents created by observing the
                 performance of five humans driving an automobile
                 simulator. The agents show not only the
                 ability/capability to automatically learn and
                 generalise the behavior of the human observed, but they
                 also capture some of the personal behavior patterns
                 observed among the five humans. Furthermore, the agents
                 exhibited a performance that was at least as good as
                 agents developed manually by a knowledgeable
                 engineer.",
  notes =        "Adviser: Avelino J. Gonzalez
                 http://ucf.catalog.fcla.edu/cf.jsp?Ntt=CF001100798&Ntk=Number&Nty=1&N=29&I=0&V=D
                 OpenGP",
}

Genetic Programming entries for Hans Fernlund

Citations