
## 7. More philosophical questions

1. ### 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.