Accession Number:

ADA465912

Title:

Bayesian-Game Modeling of C2 Decision Making in Submarine Battle-Space Situation Awareness

Descriptive Note:

Corporate Author:

NEBRASKA UNIV AT OMAHA DEPT OF COMPUTER SCIENCE

Report Date:

2004-03-24

Pagination or Media Count:

60.0

Abstract:

In a previous paper of ours HPSZ02, we addressed the C2 decision support issues and introduced software agent architecture for combat C2 tactical decision aids under overwhelming information inflow and uncertainty. The research described in this paper is further concentrated on applying a Bayesian-Game-theoretic approach to multi-source data fusion for achieving the situational awareness that supports C2 decision making in time and mission stressed settings with significant amount of information uncertainty and inaccuracy. The Consolidated Undersea Situational Awareness System CUSAS provides information management and integration by applying an evolutionary games theoretic model to state determinations and conflict resolutions in a mapping between the combat space data sets and the situational state estimations. A Bayesian probabilistic computation is conducted to evaluate sensory and environmental inputs and quantitatively rank the situational state hypotheses in terms of certainty functions. Asynchronous and intelligent agents are employed to support the prioritization, management, and coordination of the data fusion process, as well as to model adversarial and friendly behavior for providing advice to decision makers or other software agents playing human roles. The agents with data fusion ability are to learn and cooperate to process overwhelming combat information more accurately, systematically, and in a well-prioritized manner.

Subject Categories:

  • Statistics and Probability
  • Operations Research
  • Command, Control and Communications Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE