7. More philosophical questions

Can we design Boltzmann machines that are interpretable?
Problem 7.1.
[Jason Morton] Can we design Boltzmann machines that are interpretable? In other words, can we construct useful Boltzmann machines that admit a simple explanation in human terms, and behaves in a predictable manner with certainty? 
Are there biologically plausible extensions of Boltzmann Machines for neural networks?
Problem 7.2.
Are there biologically plausible extensions of Boltzmann Machines for neural networks? 
How to use RBMs to do statistical inference for a physical system, or properties of a network?
Problem 7.3.
How to use RBMs to do statistical inference for a physical system, or properties of a network? 
The differences between RBM variants
Problem 7.4.
What are the differences between classical RBMs, Quantum RBMs, and Complex valued RBMs with quantum states?
Cite this as: AimPL: Boltzmann Machines, available at http://aimpl.org/boltzmann.