Self-referential Paradoxum In Knowledge Representation
What do these two pictures share in common?
They represent structure and dynamics (continuity, connectedness, and boundary [of which topology is only ONE example!]) distributed over multiple and partial dimension. That’s why they interest me and are of use. I use them to represent knowledge, because they are found in our knowledge!
They always have a concealed twist (internal dynamics). You need to leave our 3D rational domain to capture their meaning though. I’ve studied these shapes for a long time now and use them in my work. Break the figures or logic apart and notice how you can tuck the parts into a cloud shape (ambiguity) and make the systems work.
This entry was posted on August 29, 2014 by heurist. It was filed under Holors, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Logic, Mathematics, Mathesis Universalis, Metaphysics, Philosophy, Physics, Science, Semantics, Understanding, Wisdom and was tagged with FractalLogic, insight, knowledge, learning, Logic, Metalogic, understanding, wisdom.
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