Research Summaries

Back Modeling Ambiguity Through False Positive Perceptions

Fiscal Year 2008
Division Graduate School of Operational & Information Sciences
Department Computer Science
Investigator(s) Darken, Christian J.
Sponsor Army TRADOC Analysis Center-Monterey (Army)
Summary The overall project supports the 2006 C4ISR fast critical research area to develop the knowledge, algorithms, and data to represent the effect of ambiguity on decision-making in the area of inaccurate identification/classification/affiliation of acquired entities. This project will develop data, models and methodologies to make the levels of information ambiguity within simulations more realistic by implementing "false positive" acquisitions. The work is being supplemented to enable experimentation with environments containing moving targets and distractors (animation) in addition to the previously proposed work.
Keywords Modeling Simulation Perception Target Acquisition
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal