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© Copyright 2009 by Justin Coslor
Patterns in Contexts, a theory of knowledge representation.

	Information, by its very nature, is a division. Yet it strives to become 
whole again, and at the very least, to become balanced. If knowledge is 
represented as patterns in contexts, then thinking might be learning, applying, 
and organizing that knowledge, creatively or otherwise.
	Analogies mimic patterns across contexts via Cross-Domain Relations. 
Cross-Domain Relations go from domain to domain when the range is the same, as 
an overlap. That is the basis of Analogical Reasoning.  As Aristotle said in the 
first paragraph of his book 'Poetics', "The arts are mimicry." Perhaps the Arts 
are like patterns, and the Sciences map the contexts. Context is one kind of 
framework.
	Contexts are composed of configurations of patterns (a setting, like a 
continuum of text). Patterns are composed of configurations of variables. 
Variables are composed of configurations of first principle dimensional 
properties, such as quantifiers and qualitative adjective descriptive 
comparisons. Their application via relational frameworks (such as semantics and 
syntax, or operator systems) can simulate the meat of metaphor, as two analogies 
juxtaposed by similar relational frameworks that form a cross-domain relation in 
an overlap of meaning or intention or something else.
	If data has recognizable features, then it is a pattern. Repetition is 
what makes a symmetry. Repetition makes a pattern's features recognizable. 
Information is a symphony of symbolism and symmetry. Every pattern in every 
context is unique to the properties and axioms of the contexts that they exist 
in. An axiom is a self-evident truth.
	A symmetry is an example of an internal algebra. Unique symmetries have 
a prime number of repetitions or symmetry partition sections. Prime numbers are 
the balance points in the Universe. Unique symmetries are atomic repetitions, 
and are the simplest form of patterns, distinct from perceptually apparent 
random chaos. I do not believe in ultimate randomness. I do believe that there 
are many reasons for everything.
	All truth is but an approximation of a deeper truth. Knowledge is 
information that contains meaning. Language is permutations of semantics, 
governed by syntax and context, with meaningful intention. Yet people tend to 
not see patterns that they are not shown. We are surrounded by answers, but they 
are all meaningless and are often impossible to detect without knowing at least 
some of the questions that their existence is derived from. Without a question / 
answer connection, there is no consciousness, and awareness would not exist. 
Awareness is not the same as instinct.
	One method is to mark differences in the analogical mimicry of patterns, 
to form classification category augmentations for navigation and data retrieval 
purposes. Beware of oversimplification of data streams in order to fit a pattern 
into a perceptual mold (as Andrew Dougherty, principle investigator of the 
FRDCSA has formally proven). He has wanted to incorporate my Patterns In 
Contexts theories into his Free Libre Open Source Software Artificial 
Intelligence systems integration archive. He recently named me "Minister of 
Intelligence of the FRDCSA", he used to just say jokingly "Justin Coslor is the 
Master of the Universe!"
	These ideas and patterns, as with others, can eventually be linked to 
ideas in other contexts. Lexicons can often be linked to external contexts in 
frameworks (as Marvin Minsky has described). Several years ago (a few years 
after I started working on PICForm in nearby coffee shops) at a lecture at 
Carnegie Mellon University in Wean 7500, hosted by Matt Mason (Director of the 
CMU Robotics Institute, who I long ago used to work for when I was a Freshman at 
CMU at age 17.), Marvin Minsky gave a great speech about cognitive frameworks, 
and at it I commented that "Information can be represented metaphorically as 
patterns in contexts." and he said "I wholeheartedly agree!". 
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