Knowledge is a Natural Phenomenon Dating Back to the Origins of the Universe
Evolution would not have been possible if nature was not building and accumulating knowledge about itself,
and from that, figuring out optimal structures, some of which we typically consider as very sophisticated, like human
beings and minds.
Without knowledge the original chaos would loop forever, constantly reinventing itself.
Why and how do spiders build their structured webs, or DNA generate new living beings? Do bees know honey?
Do plants know about survival? Why do plants and animals react to music in correlation to how humans do? How do animals
Do humans really understand (cognition) everything (knowledge) they know?
Why do neural nets, patterns, and pathways enable most brains?
It is also interesting to note that the more sophisticated structures that evolution produces,
the more complex the problems these structures can address. More so, as each structured being,
like each of us, evolves, the more complex the set of problems it can address.
Further, all through their lives most beings "naturally" strive to learn and address richer issues, and problems,
as well as to understand, build, develop, educate, and program more complex structures.
This, in fact, quite like atoms and particles figuring out the spiraling power of carbon combinations,
progressively using them to build cells, organs, beings, and ever more sophisticated minds.
By no means a human invention, knowledge is a natural phenomenon, and, as other natural phenomena, it is structured by
Unlike "natural" and human devised languages, knowledge is not a convention, tradition, or human creation,
but a universal, cosmic, natural phenomenon with natural architecture and principles worth understanding.
Knowledge has evolved quite a bit in 15 billion years, thankfully, and it obviously will keep doing so.
Part of the fabric of reality, of our universe, and of ourselves, knowledge's natural fundamental architecture, logic,
and operation principles, are unavoidable.
Especially as computer-assisted knowledge processing is so much at the heart of our economies, already today, and clearly,
more and more in the future,
can we hope to effectively build computing systems to entitle, model, manage, and share knowledge,
without understanding knowledge's natural fundamental architecture and principles ?
What are some of those natural fundamental knowledge structuring principles, and why are they so?
What is knowledge? how does it work? why?
In fact, it seems that a lot of the great data and information processing issues, today,
like generalization, and content security (e.g. sharing) issues, and many others,
are related to the fact that we are trying to process data rather than manage knowledge.
It also seems obvious that sooner or later we will have to change and adapt, and,
that at the rate that it is costing us all, already, sooner would be better.