FRDCSA | minor codebases | Sayer-Learner

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Project Description

sayer is a system for positing things about data. Learner is a system for predicting future relationships based on given information. sayer-Learner is a way to expedite the development of both systems.


  • Use KBFS, have it learn when to automatically attribute facts to files based on certain correlations. Also use sayer and sayer-Learner, and thinker to learn when these facts apply to the files. Then, for instance, do automatic classification of text files into subject headings. Ultimately organize all of the research papers and documents I have into a coherent, cohesive whole.

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Last updated Sat Oct 26 16:46:15 EDT 2019 .