I am here going to explain my understanding of what language is, how it works, how it is created, how it evolves and how it disappears. My sound blocks theory is based on this understanding. I have to thank all my critiques on this forum, who have been asking me for a summary of my theory, for forcing me to actually formulate and write down things that i had in my head for years but never bothered putting down on paper. I hope you find this interesting.
djr33, please try to read the whole text from beginning to the end before you start writing your comments and question.
What is stuff?
Stuff is anything that exists out there. We don't know what actually exist out there and have no way of directly finding out. The best explanation for what the stuff actually is, is that it is a multidimensional, holographic or in some other way interconnected mess of electromagnetic vibrations, kind of like a song of songs, or the word of god or just a giant never-ending fart. But really we have no clue what is out there. There is another problem with the stuff which is out there. We cannot use any words we have to describe it, because by naming it turn it from what it is to what we think it is, or to what we see it as. For instance if I start talking about matter, I will then have to talk about energy and space and time and so on. All of these are just attributes of stuff. They tell us things we are able to observe about stuff, but not what stuff is. So for lack of a better word I choose to call it stuff, because this is my little son's favourite word which he uses for things he has proper names for.
What is transformation system?
Transformation system is any system which can transform, change any type of input into any type of output. Our digestive tract is an example of a transformation system. It converts food and water into energy and waste. Our brain is another example of a transformation system. It converts input data arriving through our senses into the reality. Computers are another example of a transformation system, and so on.
What is input?
Input is anything that is allowed into a transformation system. Lots of stuff can reach the boundary of the transformation system, but only stuff that the transformation system lets into itself becomes input. Example: flying bugs can hit us in our face, but our digestive system will make sure they don't become input into it. Infra-red light comes to our eyes but our visual transformation system ignores it.
What is algorithm?
Algorithm is a description of a logically linked set of steps used for transforming input of any kind into output of any kind. Example is recipe for making vegetable soup, which tells us how to transform raw ingredients into soup. Another example is algorithm for translating collection of sounds into words and from words into meaning.
What is input data?
Input data is input into meaning transformation systems whose output is information. Input data is not actual stuff, but set of other stuff representing the actual stuff. For instance, bunch of electromagnetic vibrations which bounce off a surface of the sea and arrive to our eyes are not the see, but stuff telling us some stuff about the sea. Word "sea" is not the sea, but set of sounds or letters linked in some way to what we perceive as sea. Input data is presumed to contain encoded information. To extract the information from input data, meaning transformation systems use algorithms to translate, decode input data into information. Example: light coming into our eyes is input, pictures in our mind is output, the visual cortex and associated brain parts are processing system. Example: 111010100001110001 is input, "funny" is output on the computer screen. Example: collection of sounds is input, meaning is output, and language processing system is transformation system.
What type of input data do we have?
We have various input data: visual, audio, tactile, smell, taste but all of these different types of data are in their essence electromagnetic vibrations. What we perceive as data, is actually the detectable effect of the changes of the stuff that is out there. Without stuff changing, no one would be able to detect its existence. For instance if there was no change in the pressure in the air because of the vibrational disturbances caused by a vibration of some object surrounded by air, we would not have what we call sound. If there was no change in electromagnetic field around us caused by sun's radiation and it's interaction with what we call matter, in which part of the sun's radiation is absorbed and the rest is reflected, we would not have what we call colour and without it we would not have what we call sight.
What is message?
Message is a set of input data which is presumed to contain encoded information. This presumption is based on perceived pattern of change within the data. It is the receiving transformation system that chooses what stuff to let in as input data and what stuff to ignore. Therefore it is the receiving transformation system which decides which part of the incoming stuff is a message and what is not. The receiving transformation system decides this based on some algorithm for transforming stuff into messages. It then groups some stuff together and calls it a message. This does not mean that the perceived group of data called "message" actually contains any meaningful information. Or that the transformation system has the appropriate algorithm which will allow it to extract the information out of the message even if it exists.
What is sending of a message?
Sending of a message is perceived passing of a message from sender to recipient. It is perceived because the decision of what constitutes a message is entirely under the control of the receiver transformation system. So there may not be any message sent at all, it could just be that the receiving transformation system's message definition algorithm is faulty. This manifests itself as a common problem of "misreading people's intentions...".
What type of message exchange systems do we have?
Messages can be encoded and sent using various mediums: light, sound, smell, vibrations, taste....
What types of message exchange we have?
We have:
1. Perceived but non-existent sending of a message. Example: Someone's cheeks get red from cold; we interpret it as sign of shyness.
2. Existent but not intentional sending of a message from a sender system which is capable of deciding should it send a message or not. Example: Someone's cheeks get red from shyness; we interpret it as sign of shyness.
3. Existent but not intentional sending of a message from a sender system which is not capable of deciding should it send a message or not. Example: Light reflects from an object, we interpret it as an object.
3. Intentional sending of a message. Example: Someone says "hi", we interpret it as a greeting.
4. Intentional sending of a message. Example: Someone says "hi", we ignore it or miss it.
What is exchange of information?
Exchange of information is one way exchange of messages between two systems. The exchange of information is completely defined and controlled by the receiving system. It decides if message exists, where it starts and ends, and what information it contains. This means that following scenarios are possible:
1. There is no actual message being sent, receiving system invents messages and their meaning.
2. There is a message being sent, receiving system only gets part of it, only gets part of the information
3. There is a message being sent, receiving system gets full message, uses wrong algorithm to decode the information, gets no information or wrong information
4. There is a message being sent, receiving system gets full message, uses right algorithm to decode the information, gets information
What is an acknowledged exchange of information?
Acknowledged exchange of information is an exchange of information with a return acknowledgement message. Return acknowledgement message allows receiver system to let the sender system know that the message has been received. It also allows sender system to check if receiver system has interpreted the original sent message correctly. The acknowledgement works like a feedback loop.
Example:
Let's imagine a simple language in which 1 means "hi", 2 means "how are you", 3 means "no its low". We can have these possible exchanges of information:
1--> hi
1--> hi
1--> hi
Sender thinks receiver is a rude bastard.
1--> hi
<--2 how are you
Receiver got the message and understood it's meaning
1--> hi
<--3 no it's low
Receiver got the message but misunderstood it's meaning
What is communication?
Communication is exchange of messages between to systems.
What is feedback loop?
Feedback loop is the most important part of any self-regulating system. It consists of controller, system and sensor.

It works like this:
1. System (plane) sets a goal (fly at 1000 feet)
2. System uses sensory data to determine what height it is on.
3. System calculates offset between the current height, determined based on sensory input, and desired height.
4. If offset is negative, if we are below desired height, system issues command to go higher.
5. If offset is positive, if we are above desired height, system issues command to go lower
Steps 2, 3, 4 are repeated in a loop called feedback loop. This loop will take the plane up from earth's surface to altitude of 1000 feet issuing up command every time the loop completes. Then at some stage the plane will go above 1000 feet. At that point system will issue down command. Then the plane will go below 1000 feet. The system will issue up command. And so on. These types of systems are called stable systems. Their behavior graphically looks like this:

All biological system and all stable non biological systems are self-controlling systems based on feedback loop mechanism. Our sensory organs are self-regulating systems. Eye will refocus on moving object based on the feedback information about the sharpness of the picture. Our sound producing system will re tune our vocal apparatus based on feedback information received from our ears and processed by sound processing part of our brain, about how far what we hear is from what we want to hear. Our hand holding a spoon full of food, will be directed towards our mouth based on the feedback information received from our eyes and processed by spatial processing part of our brain telling us how off we are from our mouth. Feedback loop system can learn how to become better at controlling themselves. We see this in babies who have huge problems directing their hand to their mouth and end up spilling food all over themselves, but who learn how to do it in couple of years of practice. Exactly the same feedback control loop is used to self-regulate groups of systems, where actions of each member of the system is governed by the feedback loop receiving input from all the other members of the group involved in the particular group activity.
What is conversation?
Conversation is exchange of information between two systems. The difference between communication and conversation is that conversation contains two-way feedback loop built into the exchange of messages. This feedback loop allows the systems which are exchanging messages to confirm that all the systems can extract the information from the messages using correct algorithm, and that they can understand the meaning of the information. This feedback loop keeps the exchange of messages stable, insuring that all the participants in the conversation are talking about the same thing.
What is understanding?
Understanding is ability to extract information out of a message. It can be perceived or acknowledged.
What is meaning?
Meaning is the result of the process of logical combining of the extracted information from one or more messages received from one or more sender systems via one or more communication channels.
What is knowledge?
Knowledge is database of meanings, a collection of messages - information - meaning trees. This database is used to quickly arrive to meaning without going through complex process of full message decoding and combining. It can be acquired through learning and experience. The easiest way to acquire knowledge is through experience, where messages - information - meaning link does not need additional information. You can also acquire knowledge through learning from a teacher. Basically you are acquiring the experience of the teacher. To pass knowledge through teaching you require a complex language which teacher can use to describe the link found in messages - information - meaning triplet as he experienced it, bypassing the need for actual experience by the student. Knowledge acquired through learning from a teacher is very susceptible to information distortion, because it depends on the ability of teacher to truthfully and accurately describe his experience, and the ability of the student to understand the described experience and store it in his knowledge database.
What is change?
Change is perceived movement of a perceived entity from one perceived stable state to another. Lots of perceived things here. But Change is the most important thing there is, because without change there would be no existence, or life, or reality or us. All that there is, the stuff, changes from wave to particle all the time. But these changes are not uniform. The stuff changes in patterns. It is this change of stuff in patterns makes stuff detectable and allows us to group parts of stuff into entities. We build our reality out of perceived changes of stuff. Including ourselves. And yet change is not a thing. It is a perceived movement between states in time and space. It is a process which moves state one into state two. Example:
1111111122222222222
Stable state one changed to stable state two. The change is the process which moved state one to state two. Here is a more complex change:
111111121212122222222222
Here we have three states changing into one another. What is important to understand here is that it is us who are cheating the states. All we really have is the stuff and change.
What is an entity?
Entity is set of input data which transformation system decides to group and process as a unit. The input data is the result of change in the stuff. Transformation system makes the decision to group the data into entities based on the perceived long term uniform correlation between data. Basically transformation system decides that two data items define an entity if their changes are in some way correlated through similar patterns. So entity is defined through change. For instance, if we see to lights moving together in the dark while keeping the same distance and level we group them into an entity called car. Of if we see a bunch of lines which define a surface and which all change in uniform fashion fallowing similar patterns we conclude that these lines define a body. This is what optical illusions exploit in order to trick us.
What is state?
State is perceived stable pattern of change of entities in time and or space. So we define state through pattern and change.
What is pattern?
Pattern is a perceived rule which governs changes. It allows us to predict change in the future. Pattern is based on comparison of the results of observed changes through time and space. Here we get into trouble, because patterns in space only exist because we build space from observed changes in time. For instance:
123123123
We see pattern here in space. But it only exists as a product of comparison of a series of observations in a period of time. So pattern in space is really pattern in time. The space itself therefore becomes just a product of change in time. If we observe space around us, we only conclude that we are observing a space after we construct a pattern out of uniform changes we observed in time. This time can be extremely short. During a split second, we can make thousands of observations and comparisons. But nevertheless without that time there would be no space. The stable pattern of change we created, or recognized we then call space. When we talk about patterns we talk about recognizing patterns. More precise explanation of what is happening is that we create patterns, as they really only exist in our mind. Once they are created, named and stored in our memory, patterns can be recognized if they appear again. Humans are extremely good at creating and recognizing patterns. New born babies instinctively recognize patterns and pattern irregularities. This ability makes us who we are and differentiates us from most other species. Human ability to create and recognize patterns and pattern irregularities is so amazing that it cannot be done by even the most powerful super computers. US army uses humans to recognize pattern irregularities in satellite images, when they are looking for enemy. The way they do it is to connect electrodes to someone's head, flash thousands of images before that person's eyes, and record the brain reactions to each picture. Consciously the person who is watching the images is not actually seeing anything. But the brain instantly recognizes pattern irregularities, and the parts of the brain that activate when we watch an image which has something strange light up. Then only those images are studied in detail. It takes analysts hours to consciously figure out, become aware of pattern irregularities, which the unconscious brain recognized instantly. This ability to create and recognize patterns extremely fast and extremely accurately is at the root of our ability to create and recognize reality, to create and recognize our self, and to create and use languages.
Patterns can be one dimensional and multidimensional. They can be simple and complex. They can be recursive. If we talk about languages, every word is a pattern. Every sentence is a pattern. Complex combinations of sounds, movements, colours, smells together can form multi-dimensional overlapping patterns. The amazing thing is that our brain can create, store and recognize these patterns in split second. These patterns are labelled and stored together with attached meaning. These meanings can then form patterns which are labelled and stored. This is why reading is not linear. While we are learning to read, while we are sounding words, we are creating and storing complex audio - visual - message patterns. Getting better at reading means accumulating more and more these audio - visual - message patterns, then building complex audio - visual - meaning patterns from audio - visual - message patterns. Once the structure is in place, we use our amazing pattern recognition ability to instantly recognize the pattern of words and even sentences, or sentence parts which carry meaning, and are able to instantly get related meaning. Reading is pattern recognition exercise. It is exactly the same with speaking and listening. We use exactly the same pattern creation and recognition structure, to translate meaning into words and words into meaning.