Shelley Nason

Learn More
In this paper, we describe an architectural modification to Soar that gives a Soar agent the opportunity to learn statistical information about the past success of its actions and utilize this information when selecting an operator. This mechanism serves the same purpose as production utilities in ACT-R, but the implementation is more directly tied to the(More)
In this paper, we describe an architectural modification to Soar that gives a Soar agent the opportunity to learn statistical information about the past success of its actions and utilize this information when selecting an operator. This mechanism serves the same purpose as production utilities in ACT-R, but the implementation is more directly tied to the(More)
The dust mitigation technologies are critical for deployment of photovoltaic (PV) arrays in remote, dusty atmospheres such as the surface of the Moon, Mars and even Earth. As dust collects on the photovoltaic modules, the amount of light hitting the surface is decreased, thus decreasing the overall power output. In general, it is not practicable to use(More)
OBJECTIVE Intracortical brain-machine interfaces (BMIs) are a promising source of prosthesis control signals for individuals with severe motor disabilities. Previous BMI studies have primarily focused on predicting and controlling whole-arm movements; precise control of hand kinematics, however, has not been fully demonstrated. Here, we investigate the(More)
  • 1