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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). “Lick” Licklider —who persuaded Ed to join BBN to “teach them about computers”. Nowadays we’d call it the trie (or prefix tree) data structure. But his name shows up from time to time.

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Multicomputation: A Fourth Paradigm for Theoretical Science

Stephen Wolfram

At the level of individual events, ideas from the theory and practice of computation are useful. 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. One is so-called Böhm trees.

Science 65
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Even beyond Physics: Introducing Multicomputation as a Fourth General Paradigm for Theoretical Science

Stephen Wolfram

At the level of individual events, ideas from the theory and practice of computation are useful. 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. One is so-called Böhm trees.

Physics 65
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The Concept of the Ruliad

Stephen Wolfram

Because it implies that whatever “computational parametrization” or “computational description language” one uses for the ruliad, one will almost always get something that can be viewed as “computationally equivalent”. But what about other models of computation—like cellular automata or register machines or lambda calculus?

Physics 123