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What Ultimately Is There? Metaphysics and the Ruliad
Computational Essay Stephen Wolfram Computational Essay Stephen Wolfram

What Ultimately Is There? Metaphysics and the Ruliad

Stephen Wolfram

“What ultimately is there?” has always been seen as a fundamental—if thorny—question for philosophy, or perhaps theology. But despite a couple of millennia of discussion, I think it’s fair to say that only modest progress has been made with it. But maybe, just maybe, this is the moment where that’s going to change—and on the basis of surprising new ideas and new results from our latest efforts in science, it’s finally going to be possible to make real progress, and in the end to build what amounts to a formal, scientific approach to metaphysics.

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P vs. NP and the Difficulty of Computation: A Ruliological Approach
Computational Essay Stephen Wolfram Computational Essay Stephen Wolfram

P vs. NP and the Difficulty of Computation: A Ruliological Approach

Stephen Wolfram

“Could there be a faster program for that?” It’s a fundamental type of question in theoretical computer science. But except in special cases, such a question has proved fiendishly difficult to answer. And, for example, in half a century, almost no progress has been made even on the rather coarse (though very famous) P vs. NP question—essentially of whether for any nondeterministic program there will always be a deterministic one that is as fast. From a purely theoretical point of view, it’s never been very clear how to even start addressing such a question. But what if one were to look at the question empirically, say in effect just by enumerating possible programs and explicitly seeing how fast they are, etc.? 

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What Is Ruliology?
Computational Essay Stephen Wolfram Computational Essay Stephen Wolfram

What Is Ruliology?

Stephen Wolfram

Ruliology is taking off! And more and more people are talking about it. But what is ruliology? Since I invented the term, I decided I should write something to explain it. But then I realized: I actually already wrote something back in 2021 when I first invented the term. What I wrote back then was part of something longer. But here now is the part that explains ruliology.

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The Ruliology of Lambdas
Computational Essay Stephen Wolfram Computational Essay Stephen Wolfram

The Ruliology of Lambdas

Stephen Wolfram

It’s a story of pure, abstract computation. In fact, historically, one of the very first. But even though it’s something I for one have used in practice for nearly half a century, it’s not something that in all my years of exploring simple computational systems and ruliology I’ve ever specifically studied. And, yes, it involves some fiddly technical details. But it’ll turn out that lambdas—like so many systems I’ve explored—have a rich ruliology, made particularly significant by their connection to practical computing.

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“I Have a Theory Too”: The Challenge and Opportunity of Avocational Science
Computational Essay Stephen Wolfram Computational Essay Stephen Wolfram

“I Have a Theory Too”: The Challenge and Opportunity of Avocational Science

Stephen Wolfram

Most physicists term people who send such theories “crackpots”, and either discard their missives or send back derisive responses. I’ve never felt like that was the right thing to do. Somehow I’ve always felt as if there has to be a way to channel that interest and effort into something that would be constructive and fulfilling for all concerned. And maybe, just maybe, I now have at least one idea in that direction.

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Ruliology of the “Forgotten” Code 10
Computational Essay Stephen Wolfram Computational Essay Stephen Wolfram

Ruliology of the “Forgotten” Code 10

Stephen Wolfram

For several years I’d been studying the question of “where complexity comes from”, for example in nature. I’d realized there was something very computational about it (and that had even led me to the concept of computational irreducibility—a term I coined just a few days before June 1, 1984). But somehow I had imagined that “true complexity” must come from something already complex or at least random. Yet here in this picture, plain as anything, complexity was just being “created”, basically from nothing. And all it took was following a very simple rule, starting from a single black cell. 

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