Though that was what he said, but...
To be honest, Wang Qi did not have much confidence in computational theory.
In fact, to any Earthling, the field of computational theory in this world was utterly bizarre.
First of all, the two worlds actually had subtly different concepts of "computers."
On Earth, there had only ever been one classical path, from George Boole to Frege, Russell, then Gödel, Church, and Turing—a continuous, progressive line. But that was merely the developmental path of the Turing Machine.
In truth, Earth's electronic computers had another origin, one almost everyone had forgotten.
In 1943, a neurobiologist named Warren McCulloch and a mathematician named Walter Pitts, following the idea of simulating the human brain, created an abstract diagram of a human neural system. It was a simplification based on the human nervous system. Yet this achievement proved that a system capable of thought could be built from wires, whose connections served as neurons. Whether current flowed through them or not represented whether synaptic responses existed or did not exist.
And what these neural networks implemented happened to be a form of "predicate logic."
It was simply that, in that era, humanity's understanding of both the brain and electronic technology had been shallow and narrow.
When most people thought of "neural networks," they thought of achievements from the twenty-first century.
Because the materials science and engineering of the 1940s simply could not support the neural networks those two scholars had envisioned.
The experiment's true significance lay in giving the "Turing Machine" a realizable structure.
And when that structure was further optimized in engineering, it became the Von Neumann architecture.
But in the Aura Universe, the entire universe was a vast black box.
The Thousand Machines Pavilion itself had the idea of "using mechanisms to imitate all things."