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Complementary Logic |
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| Nov6-03, 08:39 AM | #1 |
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Complementary Logic
Dear peolpe,
I am a poor formalist, but have some ideas, which are based on structural|quantitative point of view on Math language. They can be found here: http://www.geocities.com/complementa...y/CATpage.html Maybe you can help me to address these ideas in a rigorous formal way. By doing it, we can check what idea can survive rigorous definitions. I think that only then we can move to the next step, which is: to examine its originality. Thank you, Yours, Organic ---------------------------------------------------------------------------- Short overview: Boolean logic is based on 0 Xor 1. Fuzzy logic is fading transition between 0 Xor 1. A non-Boolean logic is based on 0 And 1. My point of view leading me to what I call Complementary logic, which is a fading transition between Boolean logic (0 Xor 1) and non-boolean logic (0 And 1), for example: Number 4 is fading transition between multiplication 1*4 and addition ((((+1)+1)+1)+1) ,and vice versa. This fading transition can be represented as: Code:
(1*4)= (1,1,1,1) <------------- Maximum symmetry-degree,
((1*2)+1*2)= ((1,1),1,1) Minimum information's clarity-degree (no uniqueness)
(((+1)+1)+1*2)= (((1),1),1,1)
((1*2)+(1*2))= ((1,1),(1,1))
(((+1)+1)+(1*2))= (((1),1),(1,1))
(((+1)+1)+((+1)+1))=(((1),1),((1),1))
((1*3)+1)= ((1,1,1),1)
(((1*2)+1)+1)= (((1,1),1),1)
((((+1)+1)+1)+1)= ((((1),1),1),1) <------ Minimum symmetry-degree,
Maximum information's clarity-degree (uniqueness)
Also multiplication is noncommutative, for example: 2*3 = ( (1,1),(1,1),(1,1) ) or ( ((1),1),((1),1),((1),1) ) 3*2 = ( (1,1,1),(1,1,1) ) or ( ((1,1),1),((1,1),1) ) or ( (((1),1),1),(((1),1),1) ) Through my point of view, there are connections between structure's symmetry-degree and information's clarity-degree. High Entropy means maximum level of redundancy and uncertainty, which are based on the highest symmetry-degree of some system. For example let us say that there is a piano with 3 notes and we call it 3-system : DO=D , RE=R , MI=M The highest Entropy level of 3-system is the most left information's-tree, where each key has no unique value of its own, and vice versa. Code:
<-Redundancy->
M M M ^<----Uncertainty
R R R | R R
D D D | D D M D R M
. . . v . . . . . .
| | | | | | | | |
3 = | | | |___|_ | |___| |
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|___|___|_ |_______| |_______|
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DO=D , RE=R , MI=M , FA=F Code:
------------>>>
F F F F F F F F
M M M M M M M M
R R R R R R R R R R R R R R
D D D D D D D D D R D D D D D D
. . . . . . . . . . . . . . . .
| | | | | | | | | | | | | | | |
| | | | |__|_ | | |__| | | |__|_ |__|_
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
|__|__|__|_ |_____|__|_ |_____|__|_ |_____|____
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4 =
M M M
R R R R R R R
D R D D D R D R D D D F D D M F
. . . . . . . . . . . . . . . .
| | | | | | | | | | | | | | | |
|__| |__|_ |__| |__| | | | | |__|_ | |
| | | | | | | | | | |
| | | | |__|__|_ | |_____| |
| | | | | | | |
|_____|____ |_____|____ |________| |________|
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D R M F
. . . .
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|__| | |
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|_____| |
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|________|
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