Artificial Intelligence
Since our inception in 2000, we have won the following Government contracts including:
CES is a probabilistic expert system tied to imbedded autonomous
software agents in vehicle design and analysis software (CAD/CAE). The contract involved the development
of a new expert tool for the early assessment of corrosion problems in vehicle.
This current 2-year project involves the
development of a set of Decision Support Algorithms for determining the alive/dead status of a soldier,
methods for performing Probabilistic Risk Assessment (PRA) analysis of a suite of sensor to be worn by
the soldier, a set of sensor models used to detect sensor failure and condition the measurements according
to the sensor's reliability, and the development of a prototype Human Physiology and Sensor Simulator for
modeling the combined human subject-sensors-WPSM controller system.
This MDA/Navy contract is to develop new algorithms for
propagation of second order uncertainty (interval data) in Bayesian Network Models as stemming from
imprecise knowledge (intervals in the numbers specifying the Conditional Probability Tables), and imprecise
data (intervals in the evidence provided to the model form outside sources, such as standard deviation
on a sensor measurement)
This NASA Ames contract involves the development
of a new method of knowledgebase information retrieval for large scientific databases, in which a request
for information is posed as a question, and information sources are identified that pertain to steps in the
logical process of answering the question.
Knowledge Acquisition for Level II/III Fusion:
This DARPA research project involved the design and
development of new software tools for eliciting knowledge from Subject-Matter Experts (SMEs) having little
or no training in knowledge representation and probability theory. The work concentrated on algorithms and
methodologies for acquisition and integration of mixed logical and probabilistic knowledge.
Under National Institute of Health contract, GCAS is developing a computer
software system that guides the development of Program Logic Models for program planning and evaluation.
The software allows the user to develop a project plan including: resources needed for program operation
(Resources/Inputs) and strategies or processes involved in implementation (Activities) link to outcomes,
including process outcomes (Outputs); desired changes to the target audience as a result of the program
(Outcomes); and long-term program goals (Impact). The advanced software features include Scheduling
(Milestone Charts, Gantt Charts, Pert Charts, Critical Path Analysis, Critical Chain Method), Project
Risk Management (Belief Networks, Influence Diagrams), Timeline Budgeting and Earned Value Management.
In this Army/OSD contract we are developing new
prediction techniques using Artificial Intelligence methods for characterizing the failure of electronic
equipment subjected to mechanical shock from blast waves created by conventional weapons.
In this Air Force contract we are designing an interactive
and continuous planning system that can handle multi-level objectives together with their deadlines and
priorities. This planning system will be able to adapt to real-time information updates (for example changes
in the status of resources, additional or revised mission objectives, revised priorities of objectives or
target lists). In addition, the system will assist the users in specifying their assumptions, situation
analysis, and external factors. Finally, the system will be designed to support centralized planning and
decentralized execution.
In this Navy contract, GCAS is developing a methodology for the
retrieval of corrosion data from within existing databases and the framework for an Expert System that will
model system breakdown utilize existing coating data (in-service and laboratory testing).