The Asa H (Hierarchical Autonomous Software Agent) AI (Trans. Kansas Acad. Sci., vol 109, No 3/4, pg 159, 2006 and www.robert-w-jones.com, computer scientist, artificial intelligences) can be used for data mining. Data is input as a vector and corresponding utility (V1, U1), (V2, U2), (V3, U3).....
For a plasma confinement device V might be:
V1= (B, Nn, P, Ne, Te, t,...)
where B is the magnetic field strength, Nn is the neutral fill gas density, P is the input power, Ne is the plasma density, Te is the (electron) plasma temperature, and t is the confinement time.
The corresponding utility U might be:
U1= t Te Ne
the Lawson product.
When a set of V,U "pairs" are input to Asa H its extrapolation algorithms will suggest possible parameter changes that may improve U.
One of the extrapolation algorithms Asa H uses is:
V3 = V2 +(V2 - V1)c
where c <= 1 and U2 > U1.
Another application might be to forecast (and then avoid) arcing in an ion source.