NASA Scientific and Technical Aerospace Reports

in the threat assessment process. The model uses multi- agent system (MAS) technology and is implemented in Java
programming language. This research is a portion of Red Intent Project whose goal is to ultimately implement a model to
predict the intent of any given track in the environment. For any air track in the simulation, two sets of agents are created,
one for controlling track actions and one for predicting its identity and intent based on information received from track, the
geopolitical situation and intelligence. The simulation is also capable of identifying coordinated actions between air tracks.
We used three kinds of aircraft behavior in the simulation: civilian, friendly and enemy. Predictor agents are constructed in
a layered structure and use "conceptual blending" in their decision-making processes using mental spaces and
integration networks. Mental spaces are connected to each other via connectors and connecters trigger tickets. Connectors and
Tickets were implemented using the Connector-based Multi Agent System (CMAS) library. This simulation is one of the first
applications to use cognitive blending theory for a military application. We demonstrated that agents can create an
"integration network" composed of mental spaces" and retrieve any mental space data inside the network
immediately without traversing the entire network by using the CMAS library. The results of the tests of the simulation showed
that the ADL Simulation can be used as assistant to human air-defense personnel to increase accuracy and decrease reaction
time in naval air-threat assessment.
DTIC
Air Defense; Autonomy; Computer Programs; Simulation; Threat Evaluation
20040073579 Naval Postgraduate School, Monterey, CA
Integrating XML and RDF Concepts to Achieve Automation Within a Tactical Knowledge Management Environment
McCarty, George E., Jr; Mar. 2004; 119 pp.; In English; Original contains color illustrations
Report No.(s): AD-A422416; No Copyright; Avail: CASI; A06, Hardcopy
Since the advent of Naval Warfare, Tactical Knowledge Management (KM) has been critical to the success of the On
Scene Commander. Today’s Tactical Knowledge Manager typically operates in a high stressed environment with a multitude
of knowledge sources including detailed sensor deployment plans, rules of engagement contingencies, and weapon delivery
assignments. However the warfighter has placed a heavy reliance on delivering this data with traditional messaging processes
while focusing on information organization vice knowledge management. This information oriented paradigm results in a
continuation of data overload due to the manual intervention of human resources. Focusing on the data archiving aspect of
information management overlooks the advantages of computational processing while delaying the empowerment of the
processor as an automated decision making tool.
DTIC
Knowledge Based Systems; Programming Languages
20040073601 Naval Ocean Systems Center, San Diego, CA
Security Considerations for Autonomous Robots
Gage, Douglas W.; Jan. 1990; 6 pp.; In English
Report No.(s): AD-A422454; No Copyright; Avail: CASI; A02, Hardcopy
The security aspects of autonomous robots are analyzed by modeling a robot as a set of sensors, effectors, optional
communications resources, and processing elements whose behavior is tightly coupled to be sensed characteristics of its
environment. A simple taxonomy of potential generic threat types is presented, comprising both the possible direct external
threat paths and the derived consequent internal threat states. Several generic countermeasure strategies are proposed.
DTIC
Autonomous Navigation; Autonomy; Robots; Security
20040073605 Naval Command, Control and Ocean Surveillance Center, San Diego, CA
Underwater Telerobotics and Virtual Reality: A New Technology Partnership
Murray, Steve; Murphy, Doug; Jun. 1986; 11 pp.; In English
Report No.(s): AD-A422460; No Copyright; Avail: CASI; A03, Hardcopy
Despite major advances in autonomous vehicle technologies, human-control led ROVs (remotely-operated vehicles)
continue to fill an important role in underwater work. To perform effectively, however, the human operator requires meaningful
cues for spatial orientation, good workspace visibility, and tight feedback about manipulator behavior. These needs can be hard
to support in actual undersea operations. Telerobot designers for space missions have addressed these challenges by presenting
a graphic, virtual reality model of the workspace to the operator, who then performs tasks on this representation of the actual
work site. Real-time graphic modeling can (1) maintain a continuous, clear depiction of the workspace that is largely
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