The CxBR Diffusion Engine -- A Tool for Modeling Human Behavior on the Battle Field

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Hans Fernlund and Sven Eklund and 
                 Avelino J. Gonzalez",
  title =        "The {CxBR} Diffusion Engine -- A Tool for Modeling
                 Human Behavior on the Battle Field",
  booktitle =    "The Second Swedish-American Workshop on Modeling and
                 Simulation, SAWMAS-2004",
  year =         "2004",
  editor =       "Avelino J. Gonzalez and Johan Jenvald and 
                 Soren Palmgren",
  address =      "Holiday Inn, Cocoa Beach, Florida",
  month =        feb # " 2-3",
  keywords =     "genetic algorithms, genetic programming",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  pages =        "10",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "",
  URL =          "",
  abstract =     "The option to automatically model the behaviour of
                 different actors during live exercise training would
                 increase the value of the after-action-review (AAR)
                 process. If a simulated model of the actors is
                 available right after the live exercise training, the
                 evaluation of their behaviour would be more timely and
                 alternative actions could also be evaluated at the same
                 time. The CxBR Diffusion Engine merges technologies to
                 establish a tool for automatic, on-line behaviour
                 modelling. Context Based Reasoning (CxBR) is a proven
                 methodology to build simulated agents with human
                 behaviour. Genetic Programming (GP) provides the CxBR
                 framework with learning capabilities to automatically
                 create simulated agents with human behaviour. The final
                 piece in the CxBR Diffusion Engine is to provide an
                 efficient, flexible, scaleable and mobile platform to
                 evolve the agents behaviour. This platform is the newly
                 developed massively parallel architecture for
                 distributed GP. The massively parallel architecture has
                 the potential to execute the GP linear machine code
                 representation at a rate of up to 50,000 generations
                 per second. Implemented in an FPGA, this architecture
                 is highly portable and applicable to mobile, on-line
                 applications. This paper will present a theory on how
                 the CxBR + GP can evolve simulated agents with human
                 behaviour by observation in a massively parallel
                 architecture. These pieces will introduce all the
                 necessary elements to build the CxBR Diffusion Engine
                 that could model human behaviour to enable individual
                 AAR of trainees in the training field.",
  notes =        "",

Genetic Programming entries for Hans Fernlund Sven E Eklund Avelino J Gonzalez