Computation and the Future of the Human Condition
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Computation and the Future of the Human Condition

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780965053242
Veröffentl:
2016
Seiten:
8
Autor:
Stephen Wolfram
eBook Typ:
EPUB
eBook Format:
Reflowable
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

Stephen Wolfram is the creator of Mathematica and Wolfram|Alpha and the author of A New Kind of Science and An Elementary Introduction to the Wolfram Language. In this short ebook, Dr. Wolfram dives into his theories of computation and the universe. Take a look at this short excerpt from the ebook Computation and the Future of the Human Condition: ';In traditional engineering, one starts with some purpose in mind, then explicitly tries to construct a system that achieves that purpose.And typically at each step one insists on foreseeing what the system will do.With the result that the system must always be quite computationally reducible.But in the computational universe there are lots of systems that aren't computationally reducible.So can we use these systems for technology?The answer is absolutely yes.Sometimes we look at the systems and realize that there's some purpose for which they can be used.But more often, we first identify a purpose, and then start searching the computational universe for systems that can achieve that purpose.Things like this have been done a little in traditional engineeringeven, say, withEdison searching for his light-bulb filaments.But it's vastly more efficient and streamlined in the computational universe.

Stephen Wolfram is the creator of Mathematica and Wolfram|Alpha and the author of A New Kind of Science and An Elementary Introduction to the Wolfram Language. In this short ebook, Dr. Wolfram dives into his theories of computation and the universe. 

Take a look at this short excerpt from the ebook Computation and the Future of the Human Condition

“In traditional engineering, one starts with some purpose in mind, then explicitly tries to construct a system that achieves that purpose.

And typically at each step one insists on foreseeing what the system will do.
With the result that the system must always be quite computationally reducible.

But in the computational universe there are lots of systems that aren’t computationally reducible.

So can we use these systems for technology?

The answer is absolutely yes.

Sometimes we look at the systems and realize that there’s some purpose for which they can be used.

But more often, we first identify a purpose, and then start searching the computational universe for systems that can achieve that purpose.

Things like this have been done a little in traditional engineering—even, say, with

Edison searching for his light-bulb filaments.

But it’s vastly more efficient and streamlined in the computational universe.

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