In computer networks, information is transmitted in the form of 0 and 1. Meaningful information is encoded by the modulator and transmitted quickly through channels. Upon arrival, it is decoded by the demodulator into information that can be interpreted by the receiver. In order to resist the interruption of the noise, designers have created various methods to identify the data that may be lost or garbled in the process so that it can minimize the negative impact and guarantee the accuracy. The information theory model is essential, because it helps us to understand the process of information transmission clearly. But we need to known that the meaning carried by the information is meaningless to the transducer during the transduction. Like the content of letter is meaningless to the postman, the address on the envelope is the only message they need to know when they deliver it. Besides, different delivers responsible for interpreting the messages at respective level, which means that they even don’t need to read the whole long address, passing it to the next person in charge, then he will deliver it to the next transfer station or the destination.
Similarly, encoded bytes, like the contents of a letter, make sense only to the recipient of the data, and different people may interpret the same information differently. I think the human brain is an advanced decoding machine with more flexibility and unpredictability. If we use the content – the container transport/conduit metaphors to describe the communication, we will confuse about where new information come from? This model simplifies the information transmission process, which seems to indicate that the information will never increase and keep flowing in its original form. However, the amount of information is enriched in the process of spatial transmission and intergenerational transmission constantly. That’s why we have rich culture. So where and how does new information be created? There are two answers. One is that the computer itself can give new output through programming, and the other is that people can generate new associations and build new connections according to their own experience and knowledge accumulation in the process of interpreting information. It reminds me that when I look through the wikipedia and clicking on some hyperlinks to find more illustrations, the information transmitted always help me to make more association for a paper with new content.
Martin Irvine, Introduction to the Technical Theory of Information.
Peter Denning and Tim Bell, “The Information Paradox.” From American scientist, 100,Nov-Dec.2012