Books On Philosophy, Art, Religion, Psychology and Computer-Aided Brainstorming
The Exhaustion of the Interaction of Words: Brainstorming with the ParaMind Brainstorming Program
4. The Meaningful Exhaustion of the Interaction of Words and Symbols
This chapter goes over the basic philosophy that came about from the general idea of exhausting the interactions of words by computer means. It is written in philosophical language that attempts to set up new conditions, so at times it may seem terse and like shorthand. I've found it is the only way to express the idea of exhausting the interactions of words, of the possibility and actually having the motivation to "come up with every idea possible."
Ideas are built of an interlocking of meanings. Meanings can be represented by symbols. For us, these symbols have become words. When we want to express an idea, all we do is pick words that represent our different meanings and lock them together in an interaction of words that we call a sentence. We then lock sentences together in paragraphs and put them in books, magazines, or other literary forms. We have formalized the conceptualization of meaning into locked blocks called ideas. We then catalogue valid ideas, and other ideas we put together in categories such as nonsense, neologisms, science fiction, and so on. What we often don't see is that valid ideas can start off as nothing more complex than words, or a few words related to each other in a phrase. That is, the deepest, most basic concept of an idea can be a simple word.
Our dictionary is a collection of words which can be called units of ideas. Our library contains these units of the dictionary organized in intelligible ways. In the future there will arise the need for more books which would then be created from our dictionary's words organized in different intelligible ways. This is because of our inevitable progress. This work proposes that by stimulating the intelligent creation of new interactions of words, and then merging constituents by computer means, we can find new, important and interesting ideas. We do this by simply exhausting the interactions of words in ways that make sense. That is, we try to exhaust as many as possible -- of course to try to exhaust the interactions of all words would be unnecessary because only a subset of the words interacted with each other would make sense anyway.
Ideas frequently come many decades before they are accepted as being valid ideas. New ideas can almost always be stated in words from our own dictionary or in combinations of the old parts of words such as suffixes and prefixes. We get many of the suffixes and prefixes for the new words from old Latin, Greek, Arab, Asian, African, Native American or other roots.
We can get at a framework for the meaningful exhaustion of the interaction of words if we draw out the basic linguistic truth that ideas can be broken down into words, and different interactions of words equal different ideas. This theory states that it is useful to look at this idea philosophically. By an exhaustion of the interaction of words, we can theoretically discover many new ideas available to us. This is the premise of the meaningful or purposeful exhaustion of the interaction of words.
Linguistics, while adding to the science of the computer understanding of language, has made a complex introduction to the gateways to thinking about our topic of word interaction exhaustion. If we get into an essentially useless linguistic quagmire, we are missing the point of finding tools that have practical value.
When we look at linguistics such as semiotics, syntax, or semantics, we find studies as dedicated as computer programming or aeronautics. Word interaction exhaustion extracts only what is needed from these studies in linguistics, and never is imposed upon by that which is dedicated merely to preserving the study of describing language. Word interaction exhaustion theory should take guidelines from grammar and syntax studies but does not have to be limited by statements they make about what are valid ideas in general.
Word interaction exhaustion, when used in the hard sciences, must be done by people with some training in those areas. One does not have to be a learned linguist to invent ideas with the merge method of word interaction exhaustion; the fact is that we develop brainstorming methods for better idea generation after we begin to use the software program.
A combination of units, called words, whose meanings we simply find in the dictionary, produces things called ideas, whose purpose and value differ in degrees of intensity. People using the technique of word interaction exhaustion could map out these degrees of value and purpose. Combining words together creates new meanings out of the words that have a single meaning when in relationship with those items. The point that each word is very simply defined can be seen when we break down the sentence: "The old analog music synthesizers refined their sounds by using voltage controlled filters." This simple way of using consensual definitions is used in conceptualizing the purpose and possibility of word interaction exhaustion.
Linguistic studies have validity here when one has already gotten to the point of accepting word interaction exhaustion's basic premise of it being possible to create beneficial ideas by creating large collections of meaningful text by intelligent computer merging. Linguistic studies can be used in merging an expert system rule base in the program's text output. The expert system would filter through the text output and retain more of the meaningful and important statements. Advanced linguistic studies can be introduced to create criteria for lexicons for indexing patterns that would produce meaningful merges.
Older and/or simpler brainstorming software uses random word jumbling to create strings of new word combinations. Without basic linguistic knowledge, such as grammar, entering into this all we will get is difficulty in reading the results or even gibberish. We should be able to use basic sentence rules to get at text outputs that make sense, let alone have any value to the general public that use the program. The easiest way to do this is to develop ideas with the merge concept. The merge concept in developing ideas allows us to produce volumes of meaningful and grammatically correct output with much less effort.
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