Analysing Open Source Software to Better Understand Long Term Memory Structures in the Human Brain
Abstract
As AI models become larger, replicating long term memory structures (LTM-S) may produce
the same benefits that evolution provided the human brain (efficiency, performance, and
extensibility). At the heart of this paper is the conjecture that software structures are
close representations of LTM-S. If this is true, then open source can be considered a huge
database of easily searchable LTM-S examples that could assist in a deeper understanding of
the same. The paper proposes a general refactoring algorithm based around two elements of
LTM-S, chunks and analogies. The underlying aim is to develop mechanisms and theories to
analyse the analogical and chunking structures employed in software.