General Mathematics


'supralogic' or a Method for Predicting Stochastic Mapping Outcomes by Interpolating Their Probabilties

Authors: Adam Bourne

In a stochastic mapping model, a method is described for interpolating un-sampled mapping probabilities given a successive set of observed mappings. The sampled probabilities are calculated from the observed mappings. The previously described method of interpolating values in code space is used to interpolate the un-observed mapping probabilities. The outcomes for subsequent mappings can then be predicted by finding the processes with maximal interpolated probability. Finally, a software package is created and demonstrated to implement the method and tested on a variety of situations for filling in missing element values or categorising data arrays.

Comments: 5 Pages. Demonstration of method has been added to paper

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Submission history

[v1] 2019-06-30 09:09:58
[v2] 2019-07-28 07:14:00
[v3] 2019-08-14 12:33:50

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