My original idea about using compressed data in functions came from numerical processes. As I said, the base n (n-ary) number system is a major advancement from the unary stick system of counting. From that point of view, the fact that you can use base n numbers in computations without decompressing them into unary representations is a major factor in their effectiveness. So maybe the development of cross-transformation compressions is not as important as the development of other single compression methods that would include functions which can use the data without decompressing it.
A simple example of a cross-compression function can be found by using Roman numerals with base n numbers in computations. Although the Roman numeral has to be translated into base n and the reverse is also true, from the point of view that base n is a true compression, the translation does not require any major decompression. So that is an interesting example of what I am talking about. From the point of view that computational systems could be derived to take advantage of representing some numbers over their base-n representations, then the translation from the other kind of representation into base-n might look like a decompression. This shows that compression is relative. So it is really a matter of effectiveness. I think that AGI has to be relative and that cross-indexing and cross-generalization means that there can be an extensive number of conditional transcendent (virtual) relations. I suspect that this kind of system might hold a lot of opportunity for cross-transformational functions. ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
