  Recent research has extended methods from the fields of thermodynamics and
statistical mechanics into other disciplines. Most notably, one recent work
creates a unified theoretical framework to understand evolutionary biology,
machine learning, and thermodynamics. We present simulations of biological
evolution used to test this framework. The test simulates organisms whose
behavior is determined by specific parameters that play the role of genes.
These genes are passed on to new simulated organisms with the capacity to
mutate, allowing adaption of the organisms to the environment. With this
simulation, we are able to test the the framework in question. The results of
our simulation are consistent with the work being tested, providing evidence
for it.
