MHB What is the bipolar input and bipolar output truth table of ANDNOT function

AI Thread Summary
The discussion focuses on the definitions and truth tables related to the AND NOT function, specifically in the context of bipolar inputs and outputs. Bipolar is defined as mapping 0 to -1 and 1 to 1. Participants express confusion regarding the truth table for the AND NOT function, with one suggesting that if negative values are a typo, it may imply a constant function. The AND NOT function is clarified as potentially referring to NAND, which outputs 1 for all input pairs except (1, 1), where it outputs 0. There is a recommendation for clearer problem statements in future discussions, especially when relating to neural networks.
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What is the bipolar input and bipolar output truth table of ANDNOT function
Could you remind the definitions of bipolar output truth table and ANDNOT function?
 
Evgeny.Makarov said:
Could you remind the definitions of bipolar output truth table and ANDNOT function?
I forgot to clarify, bipolar means 0-->-1 and 1------->1 that's it. My confusion is with truth table of AND NOT function. What is its truth table. I have made one above and written books' truth table as well. Could you please clarify that only?
 
shivajikobardan said:
I forgot to clarify, bipolar means 0-->-1 and 1------->1
I have not encountered Boolean algebra with negative values like $-1$ above. If minus is a typo and you meant 0 --> 1 and 1 --> 1, then did you mean a constant function of one argument that is always equal to 1? How is it related to AND NOT?

If by AND NOT you mean NAND, which maps $x$ and $y$ to $\overline{x\&y}$, then it is described in Wikipedia. It maps all pairs of arguments to 1 except (1, 1), which it maps to 0. If I misunderstood your question, please write it more clearly.
 
Evgeny.Makarov said:
I have not encountered Boolean algebra with negative values like $-1$ above. If minus is a typo and you meant 0 --> 1 and 1 --> 1, then did you mean a constant function of one argument that is always equal to 1? How is it related to AND NOT?

If by AND NOT you mean NAND, which maps $x$ and $y$ to $\overline{x\&y}$, then it is described in Wikipedia. It maps all pairs of arguments to 1 except (1, 1), which it maps to 0. If I misunderstood your question, please write it more clearly.
https://www.geeksforgeeks.org/implementing-andnot-gate-using-adaline-network/I got it.
 
Glad you found the answer. Next time please write the complete problem statement and its context in the body of the first message and not only in the thread title. In this case it is essential that the question deals with neural networks.
 
Evgeny.Makarov said:
Glad you found the answer. Next time please write the complete problem statement and its context in the body of the first message and not only in the thread title. In this case it is essential that the question deals with neural networks.
Ok I will write everything in detail from now on. Thank for advice.
 
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