Self-organized novelty detection in driven spin glasses
Adaptation and Self-Organizing Systems
2019-11-19 v1 Statistical Mechanics
Abstract
We consider a glassy system of interacting spins driven by continual switching amongst a finite set of nonuniform external fields. We find that the system evolves over time towards configurations that minimize the work absorbed from this external drive. The configurations which achieve this are specific to the details of the external fields used to drive the system, and therefore act effectively as a self-organized novelty-detector that embodies accurate predictions about the typical future of its external environment.
Cite
@article{arxiv.1911.07216,
title = {Self-organized novelty detection in driven spin glasses},
author = {Jacob M. Gold and Jeremy L. England},
journal= {arXiv preprint arXiv:1911.07216},
year = {2019}
}