- 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://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",
