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Representing Human Behavior in Military Simulations Interim Report (1997) / Chapter Skim
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EXECUTIVE SUMMARY
Pages 1-4

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From page 1...
... It presents an overview of the needs for models of human behavior, summarizes a methodology for ensuring development of useful models, and describes selected psychological process models that can improve the realism with which humaninfluenced action is represented. The need to represent the behavior of individual combatants as well as teams and larger organizations is expanding as a result of increasing use of simulations for training, systems analysis, systems acquisition, and command decision aiding.
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From page 2...
... Not only will learning allow human behavior representations to respond realistically to changes in the environment without having to anticipate every possible change ahead of time, but it will also allow the models to more closely reflect intelligent human behavior. Furthermore, capturing different levels of learning will allow the representation of different levels of skill, from novice to expert.
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From page 3...
... In the area of decision making at higher command levels, models derived from game theory, dynamic decision trees, and multiattribute decision theory are presented along with current approaches in operations research, engineering, and organizational science. At the individual combatant level, the discussion focuses on dynamic decision models that allow for individual differences in decision strategy and motivational factors.
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From page 4...
... 4 REPRESENTING HUMAN BEHAVIOR IN MILITARY SIMULATIONS Drawing on the military background and knowledge of our sponsor, we plan, as part of the second phase, to conduct a more complete analysis of the strengths and weaknesses of current models and assess the feasibility of establishing priorities for human behavior representation in military modeling and simulation activities.
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Key Terms

  • behavior representations
  • behavior representation
  • simulation office
  • dynamic decision
  • situation awareness

  • neural networks
  • command decision
  • simulated annealing
  • decision aiding
  • defense modeling

  • current human
  • real human
  • controlled randomness
  • distributed interactive
  • organizational science

  • command levels
  • genetic algorithms
  • skill requirements
  • allow human
  • inherently variable

  • current approaches
  • including physical
  • multiattribute decision
  • cognitive science
  • thorough review

  • final section
  • belief networks
  • useful models
  • individual combatant
  • information requirements


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