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Ok, will this bit of information may be valuable under these circumstances.

In computer science, or more specifically, turing theories, there are two a priori notions. Memory and time. Time can be used in two ways, as a string, or as a dictionary. I would hope that anyone using linear bounded automata make time a dictionary for efficiency purposes. The difference between a string and a dictionary is that a dictionary has two parts, an entry and its corresponding part. If time is being used as a dictionary, then both the entry and its part are strings, but they are seperate and only the entry is within knowledge. Parts of the corresponding part are in knowledge, but if you treat it as a whole, it's highly improbable that it will be in knowledge. If you treat time as a string, then the function that accesses the string has to skip over large portions of the string in order to find the input that is in knowledge that is also in the string. This is highly inefficient.

I would say that the difference between treating time as real or as imaginary is the difference in computing time as a string or as a dictionary.

There's alot more to say about this but it will take long to write out on my phone.

More recent speculation leads me to believe that time is actually a tuple. It makes sense because it takes disposition into account by remembering particular bits of knowledge which remain relevant to particular situations (ex. Learning to hate someone: prompt hatred).

 

Computationally it looks like this.

Time = hate('stfu you're stupid', stupid('what do you even know'', what do('what do you even know')))

 

It has a definition which consists of a large portion of variables that, when prompted, have correlated strings as well as another bunch of variables. All variables correlate with actual knowledge (like 'cow').

http://www.scienceforums.net/topic/79024-unarbitrated-time/

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