I’m new here. Where would I post something like this for discussion? It seems applicable to this article. I believe there is a simpler approach but might require quantum computing for it to be useful since the number of beliefs to be updated is so large.
(1) No writer lies nor intentionally disrespects another living being unless they believe that they are justified. Ergo, all statements are true within. a belief context.
(2) If (1) is true, then the belief context of the writer any statement is required,
(3) if belief context cannot be known completely, then the closest context that would allow the statement to be true should be assumed. This requires evaluating existing beliefs for every statement that is added to the corpus.
(4) It also requires an exhaustive encyclopedia of beliefs. However, this is a solvable problem is beliefs follow a binary decision tree having to do with self perception, perception of others, etc.
(5) all beliefs about a given state. can be expressed in a number with N bits where the total # of bits are the belief decisions that can be made about self, experience, reality, justice. The subject need not be known, just the beliefs about the subject. Beliefs do need to be ordered starting with beliefs about the self, then others, then the world. In the end, order doesn’t really matter, but grouping does.
(6) When a given state results in multiple possible belief patterns, the one with the least amount of judgement must be taken as the truth. That is, the matching belief set must be as neutral as possible, otherwise we are inferring intent without evidence. Neutral is defined as matching at the most significant bit possible.
(7) When learning occurs, any beliefs about the new belief must be re-evaluated taking in the new knowledge.
I’m new here. Where would I post something like this for discussion? It seems applicable to this article. I believe there is a simpler approach but might require quantum computing for it to be useful since the number of beliefs to be updated is so large.
(1) No writer lies nor intentionally disrespects another living being unless they believe that they are justified. Ergo, all statements are true within. a belief context.
(2) If (1) is true, then the belief context of the writer any statement is required,
(3) if belief context cannot be known completely, then the closest context that would allow the statement to be true should be assumed. This requires evaluating existing beliefs for every statement that is added to the corpus.
(4) It also requires an exhaustive encyclopedia of beliefs. However, this is a solvable problem is beliefs follow a binary decision tree having to do with self perception, perception of others, etc.
(5) all beliefs about a given state. can be expressed in a number with N bits where the total # of bits are the belief decisions that can be made about self, experience, reality, justice. The subject need not be known, just the beliefs about the subject. Beliefs do need to be ordered starting with beliefs about the self, then others, then the world. In the end, order doesn’t really matter, but grouping does.
(6) When a given state results in multiple possible belief patterns, the one with the least amount of judgement must be taken as the truth. That is, the matching belief set must be as neutral as possible, otherwise we are inferring intent without evidence. Neutral is defined as matching at the most significant bit possible.
(7) When learning occurs, any beliefs about the new belief must be re-evaluated taking in the new knowledge.