Distal attribution and presence
Presence: Teleoperators and Virtual Environments - Premier issue
Predicting how ontologies for the semantic web will evolve
Communications of the ACM - Ontology: different ways of representing the same concept
Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Validation and calibration of human performance models to support simulation-based acquisition
WSC '04 Proceedings of the 36th conference on Winter simulation
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The development of realistic computer-generated synthetic environments, also called distributed virtual environments, relies heavily upon computer-generated actors (CGAs) to provide accurate behaviors at reasonable cost so that the synthetic environments are useful affordable, complex, and high fidelity. 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, CGAs 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 paper, which surveys the technologies and progress made in the construction and use of CGAs. In this, the third installment in the series of papers discussing CGAs, we conclude our discussion of CGA technologies by concluding the discussion of human behavior modeling for CGAs, and we present some suggested future research directions for CGA technologies.