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On 7/4/2025 2:25 AM, Mikko wrote:No, it does. The proof that a counter-example can be constructedOn 2025-07-03 22:11:45 +0000, olcott said:It is a detail that defines a partial halt decider
On 7/2/2025 1:53 AM, Mikko wrote:What HHH correctly or otherwise simulates is merely an implementationOn 2025-07-01 11:46:11 +0000, olcott said:Although it is called a description that term is inaccurate.
On 7/1/2025 2:51 AM, Mikko wrote:It is irrelevant because the halting problem clarly states that theOn 2025-06-30 17:49:20 +0000, olcott said:It is relevant to the halting problem because
On 6/30/2025 3:14 AM, Mikko wrote:Irrelevant to the halting problem.On 2025-06-29 14:04:43 +0000, olcott said:Yet no directly executed Turing Machine DDD() can be an input
On 6/29/2025 3:42 AM, Mikko wrote:That "input" is an input to the halting problem. The input to theOn 2025-06-28 13:28:04 +0000, olcott said:No one ever noticed that it is never an actual
On 6/28/2025 6:47 AM, Mikko wrote:Not an assumption but proven true from definitions.On 2025-06-27 23:35:46 +0000, olcott said:*This is only based on false assumptions*
On 6/26/2025 4:30 AM, Mikko wrote:Your claims above were about truth in general with no restrictionOn 2025-06-25 14:33:52 +0000, olcott said:Analytical truth has nothing to do with observation
On 6/25/2025 1:50 AM, Mikko wrote:Yes, and avoid ambiguous expressions or disambiguate them when needed.On 2025-06-24 15:00:30 +0000, olcott said:Correct proofs can also depend on the meaning of natural
A proof is any set of expressions of language thatA singlet set of expressions that just states a correct conclusion
correctly concludes that another expression of
language is definitely true.
satisfy the above definition but does not prove anything. A proof
is something that gives a sufficient reson to believe what otherwise
might not be believed.
language words.
It is typical that formal proofs make sureThat is the main advantage of formal proofs. But an application
to totally ignore every aspect of this.
of a formal proof usually requires natural language to express
the interpretation.
An expression of language is proven true when a set ofOften it is sufficiently proven if it is observed to be true
semantic meanings makes it true.
though that of course depends on the qualyty of the obserfation
and of the quality of the report of the observation.
To really understand this requires deep understanding ofDeep understanding is rarely useful. Often it is sufficient to
the philosophy of truth, rather than rote memorization
of some conventional steps.
understand that what is presented as a proof isn't a proof.
Two elements that require very deep understanding areThat is not a useful result as the non-existence is usually
(a) truth-makers and (b) truth-bearers.
Truthmaker Maximalism says that when there is nothing
that makes an expression of language true then this
expression is not true.
unobservable and unverifiable.
and has everything to do we semantic connections
between expressions of language.
to analytical truths. But if you don't know that a sentence has
no truth maker it may be hard to find out.
All of math, computer science and logic is analytic truth.And that includes the non-existence of halt deciders.
We don't observe that 5 > 3, it is defined that way.
(a) An *input* can be defined that does the opposite
of whatever its decider reports. // proven false
*input* that does this.
decider candidate is a representation of input to the halting
problem. To "do the opposite" refers to what happens if the
"input" computation is executed. Whether it is actually executed
is irrelevant.
to another Turing Machine HHH making this DDD() outside of the
domain of HHH thus its behavior is irrelevant to the correctness
of HHH(DDD).
no input to a halt decider can possibly do the
opposite of whatever its halt decider decides.
The thing that does the opposite is not an input.
input is a description of a Turing machine and an input to that
machine. You may say that to decide halting of a directly executed
Turing machnie is not possible from the given input but the problem
is what it is.
It leads people to believe that 98% of exactly what it does
is close enough. That DD() *DOES NOT DO* what DD correctly
simulated by HHH does is a key detail *THAT ALWAYS ESCAPES THEM*
detail.
that makes the "do the opposite" code unreachable.
Wrong. It is correctly measured by a direct execution. A simulation thatWhat matters is the beahviour DD specifies.The behavior that an input specifies is only correctly
measured by correctly simulating this input.
You said that DDD as an input to HHH specifies a non-halting behaviour.The user'sThe C programming language translated into x86 machine code.
manual must specify how DD (or any other algorithm) shall be described
for HHH.
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