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Even beyond Physics: Introducing Multicomputation as a Fourth General Paradigm for Theoretical Science

Stephen Wolfram

Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Imagine for example that one has a neural net with a certain architecture. And the same issue arose for Alonzo Church’s lambda calculus (introduced around 1930). One is so-called Böhm trees.

Physics 65
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Multicomputation: A Fourth Paradigm for Theoretical Science

Stephen Wolfram

Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Imagine for example that one has a neural net with a certain architecture. And the same issue arose for Alonzo Church’s lambda calculus (introduced around 1930). One is so-called Böhm trees.

Science 64
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Remembering the Improbable Life of Ed Fredkin (1934–2023) and His World of Ideas and Stories

Stephen Wolfram

It didn’t help that his knowledge of physics was at best spotty (and, for example, I don’t think he ever really learned calculus). Richard Feynman and I would get into very fierce arguments. But it also led him to the idea that the universe must be a giant cellular automaton—whose program he could invent. It’s just my nature.

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The Concept of the Ruliad

Stephen Wolfram

But what about other models of computation—like cellular automata or register machines or lambda calculus? And we can trace the argument for this to the Principle of Computational Equivalence. We’ve talked about building up the ruliad using Turing machines. A very important claim about the ruliad is that it’s unique.

Physics 122