Do we live in a computer simulation?

C

Cypress

Well-known member
It is weird that quantum theory tells us that space and time is pixelated, at the Planck scale, rather than being smooth and continuous.
A pixilated, granular reality does seem obliquely more digital.

Do We Live in a Computer Simulation?

The Computer Simulation Hypothesis

It’s possible that there is only one physical universe, but multiple computer-simulated universes—that’s the kind of multiverse we might live in. Philosopher Nick Bostrom argues that the likelihood that we ourselves live in a computer simulation is directly proportional to the probability that we will one day develop computer simulations ourselves. And if we do, it’s most likely that we live in one of the simulated universes. Because it’s about 20 percent likely that we will create a simulated world—and, thus, there are billions of them—the likelihood that we live in a computer-simulated world is much higher than you probably think: 20 percent.

Source credit: David Kyle Johnson, philosopher of science
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AProudLefty said:
First you gotta define "stimulation".
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The electro-chemical activities in our neurons is completely understood at some point in the far future and can be digitally replicated in a computer simulation.


We probably should not even talk about it, because if someone is running the simulation and realizes we are wise to it, they might shut down the simulation. :)
 
Cypress said:
The electo-chemical activities in our neurons is completely understood at some point in the far future and can be digitally replicated in a computer simulation.


We probably should not even talk about it, because if someone is running the simulation and realizes we are wise to it, they might shut down the simulation. :)
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:what2:
 
Cypress said:
The electo-chemical activities in our neurons is completely understood at some point in the far future and can be digitally replicated in a computer simulation.


We probably should not even talk about it, because if someone is running the simulation and realizes we are wise to it, they might shut down the simulation. :)
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Do not let Serenity be wise to it. :)
 
AProudLefty said:
That falls on the "Fuzzy Cat Logic", I believe.
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To explain my joke, there is such thing as "fuzzy logic" in computer science.

What is fuzzy logic?
Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based.

The idea of fuzzy logic was first advanced by Lotfi Zadeh of the University of California at Berkeley in the 1960s. Zadeh was working on the problem of computer understanding of natural language. Natural language -- like most other activities in life and indeed the universe -- is not easily translated into the absolute terms of 0 and 1. Whether everything is ultimately describable in binary terms is a philosophical question worth pursuing, but in practice, much data we might want to feed a computer is in some state in between and so, frequently, are the results of computing. It may help to see fuzzy logic as the way reasoning really works and binary, or Boolean, logic is simply a special case of it.

enterprise_ai-fuzzy_logic_vs_boolean-f_desktop.png


Fuzzy logic in AI
In artificial intelligence (AI) systems, fuzzy logic is used to imitate human reasoning and cognition. Rather than strictly binary cases of truth, fuzzy logic includes 0 and 1 as extreme cases of truth but with various intermediate degrees of truth.

As a result, fuzzy logic is well-suited for the following:

engineering for decisions without clear certainties and uncertainties, or with imprecise data -- such as with natural language processing technologies; and
regulating and controlling machine outputs, according to multiple inputs/input variables -- such as with temperature control systems.
IBM's Watson supercomputer is one of the most prominent examples of how variations of fuzzy logic and fuzzy semantics are used.

https://searchenterpriseai.techtarget.com/definition/fuzzy-logic

We see examples of that today, especially self driving cars.
 
AProudLefty said:
To explain my joke, there is such thing as "fuzzy logic" in computer science.

What is fuzzy logic?
Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based.

The idea of fuzzy logic was first advanced by Lotfi Zadeh of the University of California at Berkeley in the 1960s. Zadeh was working on the problem of computer understanding of natural language. Natural language -- like most other activities in life and indeed the universe -- is not easily translated into the absolute terms of 0 and 1. Whether everything is ultimately describable in binary terms is a philosophical question worth pursuing, but in practice, much data we might want to feed a computer is in some state in between and so, frequently, are the results of computing. It may help to see fuzzy logic as the way reasoning really works and binary, or Boolean, logic is simply a special case of it.

enterprise_ai-fuzzy_logic_vs_boolean-f_desktop.png


Fuzzy logic in AI
In artificial intelligence (AI) systems, fuzzy logic is used to imitate human reasoning and cognition. Rather than strictly binary cases of truth, fuzzy logic includes 0 and 1 as extreme cases of truth but with various intermediate degrees of truth.

As a result, fuzzy logic is well-suited for the following:

engineering for decisions without clear certainties and uncertainties, or with imprecise data -- such as with natural language processing technologies; and
regulating and controlling machine outputs, according to multiple inputs/input variables -- such as with temperature control systems.
IBM's Watson supercomputer is one of the most prominent examples of how variations of fuzzy logic and fuzzy semantics are used.

https://searchenterpriseai.techtarget.com/definition/fuzzy-logic

We see examples of that today, especially self driving cars.
Click to expand...

The problem comes when you run into ill-logic. Humans are often illogical.

Is it hot? Answer: Who cares? I need a walrus.
 
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