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NeuroCOLT
Technical Report NC-TR-95-035
A
Minimal Length Encoding System
Tony
Bellotti
London Electricity plc
Alex
Gammerman
Royal Holloway, University of London
Abstract
Emily is a project to develop a computer system that can organise
symbolic knowledge given in a high-level relational language, based
on the principle of minimal length encoding (MLE). The purpose of
developing this system is to test the hypothesis that minimal length
encoding can be used as a general method for induction. A prototype
version, Emily2, has already been implemented. It is the purpose of
this paper to describe this system, to present some of our results
and to indicate future developments.
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