Data, logic, and information (1)

Data, information, and logical relationships

 

Data itself is meaningless. In certain scenarios, it is only meaningful after logic processing. Here, we regard meaning as information. It can be seen that information is inseparable from data and scenarios, three basic elements of logic.
A scenario is a platform and a prerequisite. If the scenario is used as a reference, data and logic are two elements of the platform's static and dynamic processes.

Symbol:
Take 1 for the same data, and 0 for different values;
Take 1 for the same logic and 0 for different values;
Take 1 for the same information, and 0 for different values;

 

What is logic? Logic is the process of data processing. It is repetitive and has the following essential features:

 

The same data is generated using the same logic (111)

 

But in reality, there are several combinations:

Different data is produced by different logic (000)

Different data generates different information through the same logic (010)

The same data is produced by different logic (100)

Different data are generated with the same information through different logic (001)
Different data uses the same logic to generate the same information (011)

The same data is generated using different logic (101)
The same data is produced through the same logic (110)

 

Why?
Because the reference deviation or incomplete data collection occurs when the information collection is converted to Data.
This creates an illusion that data and logic are biased before and after judgment.
In general, the easiest thing to ignore is that the logic contains fixed and feedback data.
The simplest logic without data is to reverse, take the same, permanent, and permanent.

That is:
Y = X;

Y = ~ X;

Y = 0;

Y = 1;

But the logic in reality often carries data.

 

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The goal is: thing-> information-> data and data-> information-> things, before and after the process, things are not necessarily the same