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originally posted by: roadgravel
In order to fully understand reality as a simulation you would have to make more measurements and have more bits of representation that all of reality itself.
I don't believe that is always true. If a person understands one of many, it doesn't necessarily require more than the many if it is a huge number. We understand what a glass marble is and there can be billions of then.
Since reality is happening at the speed of reality, the hardware needed to simulate reality needs to be as fast and computationally dense as reality itself. A bit of catch 22 type situation.
The speed and capacity of a simulation could be less than the containing universe or simulation.
The biologist Lewis Wolpert believes that the queerness of modern physics is just an extreme example. Science, as opposed to technology, does violence to common sense. Every time you drink a glass of water, he points out, the odds are that you will imbibe at least one molecule that passed through the bladder of Oliver Cromwell. (Laughter) It's just elementary probability theory.
originally posted by: dfnj2015
What is a computer? A computer is a calculator capable of subtracting two numbers and based on that result change what numbers to subtract next. Computers are based on the Von Neumann architecture. Computer memory is discrete, well defined, and has two very well known states of one or zero. Computers have instructions or computer codes defining what to do to memory like add-two-numbers. Computers have a get-fetch-execute cycle which requires a well defined clock-pulse. With each clock-pulse, the computer will change and eventually settle to a very well known predictable state within a few nanoseconds. With each clock pulse the computer will execute a computer instruction changing the state of memory. Between clock pulses, states of the computer's memory and the location of the program counter is a perfectly known. The computer's program counter is the memory location of the next computer instruction to execute. What computer instructions do is "hardwired" and built into the computer's microprocessor and normally do not change over a computer's lifetime.
Predictions of what will happen from one clock pulse to the next to the next is perfectly known with a computer. As long as your computer program is not self-modifying its own computer code in memory, as long as you know the state of all computer memory and the current location of the program counter, you can go backward and forwards in time with the clock pulse and arrive at the exact same state in either direction. Computer science is a "perfect" science.
The idea of reality is a computer simulation is based on the idea the fabric of reality is like computer memory. And the Universe is a computer where the laws of physics are the computer instructions changing the computer's memory. This idea is further enforced by the way computers are used as a representation of reality in computer games and simulations. Computer bits can be used to represent some level of precision of measurement about reality. And computer programs can simulate the laws of physics. So the natural conclusion to follow is given enough computer bits to represent reality and enough computational speed reality could be simulated with enough detail that the remaining lack of precision can essentially be ignored.
The question then becomes how much precision is needed? How much computation speed is needed? The problem with discrete representations of reality done by a computer is that the fabric of reality is a much different animal than the way computer memory works. To understand the wave nature of reality and how it is different that a computer's discrete memory model consider the nature of quantum entanglement proven to have faster than light travel:
And to further understand the wave nature of reality and the interconnectedness of election movements over the entire Universe consider the Pauli Exclusion principle:
The wave nature of reality is much different than the "perfect" science behind computers. At every level of the fabric of reality we have rogue waves. Rogue waves converge at points causing meaningful and measurable results. Reality cannot be easily mapped to a discrete model because of rogue waves of energy. Representing reality with computer bits is neither accurate nor complete in terms of representing ALL of nature's behaviors. The wave nature of reality's fabric producing rogue waves causing meaningful change means there will always be meaningful parts of reality missing from our representation.
Since computer science is a "perfect" science is it any surprise people gravitate to it because having perfect knowledge is comfortable. People want to believe in a clockwork universe. But instead of the Universe being a clock they substitute a computer for the machine. Machines have discrete states. Machines are perfectly understand. Machines are easy to understand. The idea of the fabric of reality being an interconnected wave is messy and hard to understand. Unknowability is uncomfortable to most people. People do not like to accept their own limitations.
So in conclusion no matter how much we want to believe in a clockwork Universe or computer simulated Universe the evidence from reality is reality is always much stranger than anything we could ever imagine. Even though it is uncomfortable to accept, the fabric of reality is impossible to map to computer memory in a meaningful way, that is, accurately and completely because our representation will never include the missing affects of rogue waves. If it were a clockwork Universe, our laws of physics would explain the origins of experimental errors.
The immediate energy release per atom is about 180 million electron volts (Me). Of the energy produced, 93 percent is the kinetic energy of the charged fission fragments flying away from each other, mutually repelled by the positive charge of their protons. This initial kinetic energy imparts an initial speed of about 12,000 kilometers per second.
originally posted by: knowledgehunter0986
a reply to: dfnj2015
I think the mistake is assuming the universe would use the same "computer" as we do. If we are indeed in a simulation, it would be far too advanced for us humans to even comprehend.
originally posted by: muzzleflash
a reply to: Plotus
Even if our Universe Computer was shut down for a thousand years then rebooted we wouldn't notice.
Everything would pick back up exactly where it left off, and no time would elapse in our simulation.
So there's no way to know how many times this simulation has been turned off and back on, all we know is that it's "on" right now. So to speak...
originally posted by: knowledgehunter0986
a reply to: dfnj2015
I think the mistake is assuming the universe would use the same "computer" as we do. If we are indeed in a simulation, it would be far too advanced for us humans to even comprehend.
originally posted by: roadgravel
Mankind doesn't really understand the universe completely. So it a stretch to draw this conclusion.
n 1967, Zuse also suggested that the universe itself is running on a cellular automaton or similar computational structure (digital physics); in 1969, he published the book Rechnender Raum (translated into English as Calculating Space). This idea has attracted a lot of attention, since there is no physical evidence against Zuse's thesis. Edward Fredkin (1980s), Jürgen Schmidhuber (1990s), and others have expanded on it.
A cellular automaton consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood is defined relative to the specified cell. An initial state (time t = 0) is selected by assigning a state for each cell. A new generation is created (advancing t by 1), according to some fixed rule (generally, a mathematical function) that determines the new state of each cell in terms of the current state of the cell and the states of the cells in its neighborhood. Typically, the rule for updating the state of cells is the same for each cell and does not change over time, and is applied to the whole grid simultaneously, though exceptions are known, such as the stochastic cellular automaton and asynchronous cellular automaton.
sim·u·la·tion
ˌsimyəˈlāSH(ə)n/
noun
imitation of a situation or process.
"simulation of blood flowing through arteries and veins"
the action of pretending; deception.
"clever simulation that's good enough to trick you"
the production of a computer model of something, especially for the purpose of study.
originally posted by: pikestaff
I wonder how long it took to type all the code, every rain drop, every blade of grass, every leaf, every grain of sand, every fish that ever lived, every cat that ever lived, every human that ever lived, every....
originally posted by: pikestaff
I wonder how long it took to type all the code, every rain drop, every blade of grass, every leaf, every grain of sand, every fish that ever lived, every cat that ever lived, every human that ever lived, every....
The problem with computers is they do exactly what we tell them to do