Progress and prospects for the development of computer-generated actors for military simulation: part 2-reasoning system architectures and human behavior modeling

  • Authors:

  • Sheila B. Banks;Martin R. Stytz

  • Affiliations:

  • Air Force Research Laboratory, Orlando, Fl;Air Force Research Laboratory, Wright-Patterson AFB, OH

  • Venue:
  • Presence: Teleoperators and Virtual Environments - Fourth international workshop on presence
  • Year:
  • 2003

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Abstract

The development of computer-generated synthetic environments, also called distributed virtual environments (DVEs), relies heavily upon computer-generated actors (CGAs) to provide accurate behaviors at reasonable cost so that the synthetic environments are useful, affordable, complex, and realistic. Unfortunately, the pace of synthetic environment development and the level of desired CGA performance continue to rise at a much faster rate than CGA capability improvements. This insatiable demand for realism in CGAs for synthetic environments arises from the growing understanding of the significant role that modeling and simulation can play in a variety of uses, These uses include training, analysis, procurement decisions, mission rehearsal, doctrine development, force-level and task-level training, information assurance, cyberwarfare, force structure analysis, sustainability analysis, life cycle costs analysis, material management, infrastructure analysis, and many other uses. In these and other uses of military synthetic environments, computer-generated actors play a central role because they have the potential to increase the realism of the environment while also reducing the cost of operating the environment. The progress made in addressing the technical challenges that must be overcome to realize effective and realistic CGAs for military simulation environments and the technical areas that should be the focus of future work are the subject of this series of papers, which surveys the technologies and progress made in the construction and use of CGAs. In this, the second installment of three papers in the series, we present a discussion of CGA software architectures and a discussion of approaches to human behavior modeling.