Genome as a functional program

TL;DR

This paper models the genome as a functional program and explores evolution as a learning process within this framework, using information geometry and path sums in the reduction graph.

Contribution

It introduces a novel approach to modeling genome evolution as a learning problem for functional programs, integrating information geometry and statistical path sums.

Findings

Model of genome as a functional program

Learning framework for functional programs

Relation of path sums to temperature learning

Abstract

We discuss a model of genome as a program with functional architecture and consider the approach to Darwinian evolution as a learning problem for functional programming. In particular we introduce a model of learning for some class of functional programs. This approach is related to information geometry -- the learning model uses some kind of distance in the information space (the reduction graph of the model), we consider statistical sum over paths in the reduction graph and discuss relation of this sum to temperature learning.