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Groups > comp.lang.prolog > #14477
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | comp.lang.prolog |
| Subject | Will we ever have Real Quantum Neurons? (Re: neural networks cover rule based in zero order logic) |
| Date | 2025-03-15 17:04 +0100 |
| Message-ID | <vr48dn$1gr8q$1@solani.org> (permalink) |
| References | <vqp8p5$1bfa2$1@solani.org> <vr45ff$1gpla$1@solani.org> |
Hi, There are some ideas to realize the neuronal neuron used for belief networks on the computer. Via so called “Repeat-Until-Success” (RUS) circuits maybe? See also: Towards a Real Quantum Neuron Wei Hu - 2018 https://www.scirp.org/journal/paperinformation?paperid=83091 Quantum Neuron Yudong Cao et al. - 2017 https://arxiv.org/abs/1711.11240 Bye Mild Shock schrieb: > > A storm of symbolic differentiation libraries > was posted. But what can these Prolog code > fossils do? > > Does one of these libraries support Python symbolic > Pieceweise ? For example one can define rectified > linear unit (ReLU) with it: > > / x x >= 0 > ReLU(x) := < > \ 0 otherwise > > With the above one can already translate a > propositional logic program, that uses negation > as failure, into a neural network: > > NOT \+ p 1 - x > AND p1, ..., pn ReLU(x1 + ... + xn - (n-1)) > OR p1; ...; pn 1 - ReLU(-x1 - .. - xn + 1) > > For clauses just use Clark Completion, it makes > the defined predicate a new neuron, dependent on > other predicate neurons, > > through a network of intermediate neurons. Because > of the constant shift in AND and OR, the neurons > will have a bias b. > > So rule based in zero order logic is a subset > of neural network. > > Python symbolic Pieceweise > https://how-to-data.org/how-to-write-a-piecewise-defined-function-in-python-using-sympy/ > > > rectified linear unit (ReLU) > https://en.wikipedia.org/wiki/Rectifier_(neural_networks) > > Clark Completion > https://www.cs.utexas.edu/~vl/teaching/lbai/completion.pdf >
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Higher Order Logic Programming and Autograd Mild Shock <janburse@fastmail.fm> - 2025-03-11 13:02 +0100
Re: Higher Order Logic Programming and Autograd Mild Shock <janburse@fastmail.fm> - 2025-03-11 13:07 +0100
Re: Higher Order Logic Programming and Autograd Mild Shock <janburse@fastmail.fm> - 2025-03-11 13:14 +0100
neural networks cover rule based in zero order logic (Was: Higher Order Logic Programming and Autograd) Mild Shock <janburse@fastmail.fm> - 2025-03-15 16:13 +0100
Will we ever have Real Quantum Neurons? (Re: neural networks cover rule based in zero order logic) Mild Shock <janburse@fastmail.fm> - 2025-03-15 17:04 +0100
Progress via library(linear) (Was: Higher Order Logic Programming and Autograd) Mild Shock <janburse@fastmail.fm> - 2025-03-16 22:59 +0100
Credits go to Rolf Pfeiffer (Was: Progress via library(linear) (Was: Higher Order Logic Programming and Autograd)) Mild Shock <janburse@fastmail.fm> - 2025-03-16 23:07 +0100
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