Is there a useful notion of being “approximately computable”

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It seems that we can define a notion of being “approximately computable” where a set, $S$, is approximately computable if there is a family of computable functions $f_n(x)$ such that $$lim_ntoinfty f_n(x)=chi_S(x)$$ Under this definition, I believe that the halting set is approximately computable and that a set is computable if and only if it is uniformly approximately computable.



I haven’t been able to find anything online about this notion, or any other notion, of approximately computable. This doesn’t seem particularly novel, and I’m surprised I can’t find any resources on it. Has an idea of “approximately computable sets” been studied? Do they all collapse to merely computable for a reason I haven’t seen?



By diagonalization, there are set that aren’t approximately computable under my definition. It seems likely that any reasonable definition of “approximately computable” would similarly only apply to $aleph_0$-many sunsets of $P(mathbb N)$. Assuming that there is a reasonable definition, is there a criteria (perhaps a level of the arithmetic hierarchy) where all sets above that level are not approximately computable?




I am thinking about this because I’ve been reading about combinatorial game theory recently, and about games with only uncomputable winning strategies. It seems plausible that a computer might be able to play a game extremely close to optimally in some sense, perhaps that they play the closest to optimally of all programs of size $leq n$. Sets that don’t have a computable approximation seem like candidates for building games where computers can only play the game poorly. If anyone has references for investigations of this idea, I would be very interested in that as well.







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  • 1




    "By diagonalization, there are set[s] that aren't approximately computable under my definition." Can you expand? I have trouble seeing why not all sets are approximately computable...my reasoning is that for any set $S$, we can take $f_n(x) = chi_S(x)$ for $|x| leq n$ and $f_n(x) = 0$ otherwise, by simply hardcoding the answers for the finitely many such $x$. All $f_n$ are computable and their limit is $chi_S$...
    – usul
    Aug 24 at 14:28










  • @usul Yes, you’re right. I forgot to specify the additional restriction in the first sentence of Bjorn’s answer. If we don’t require that $f(x,n)$ be computable, then every set satisfies by definition. With that additional specification, you can diagonalize because the function $f(x,n)$ is a computable function that witnesses the fact that exactly one set is approximately computable.
    – Stella Biderman
    Aug 25 at 19:08










  • thanks. Another reason I asked was I also had trouble understanding that restriction and how the limit w.r.t. $n$ still makes sense, but I see now.
    – usul
    Aug 25 at 23:31














up vote
5
down vote

favorite
3












It seems that we can define a notion of being “approximately computable” where a set, $S$, is approximately computable if there is a family of computable functions $f_n(x)$ such that $$lim_ntoinfty f_n(x)=chi_S(x)$$ Under this definition, I believe that the halting set is approximately computable and that a set is computable if and only if it is uniformly approximately computable.



I haven’t been able to find anything online about this notion, or any other notion, of approximately computable. This doesn’t seem particularly novel, and I’m surprised I can’t find any resources on it. Has an idea of “approximately computable sets” been studied? Do they all collapse to merely computable for a reason I haven’t seen?



By diagonalization, there are set that aren’t approximately computable under my definition. It seems likely that any reasonable definition of “approximately computable” would similarly only apply to $aleph_0$-many sunsets of $P(mathbb N)$. Assuming that there is a reasonable definition, is there a criteria (perhaps a level of the arithmetic hierarchy) where all sets above that level are not approximately computable?




I am thinking about this because I’ve been reading about combinatorial game theory recently, and about games with only uncomputable winning strategies. It seems plausible that a computer might be able to play a game extremely close to optimally in some sense, perhaps that they play the closest to optimally of all programs of size $leq n$. Sets that don’t have a computable approximation seem like candidates for building games where computers can only play the game poorly. If anyone has references for investigations of this idea, I would be very interested in that as well.







share|cite|improve this question


















  • 1




    "By diagonalization, there are set[s] that aren't approximately computable under my definition." Can you expand? I have trouble seeing why not all sets are approximately computable...my reasoning is that for any set $S$, we can take $f_n(x) = chi_S(x)$ for $|x| leq n$ and $f_n(x) = 0$ otherwise, by simply hardcoding the answers for the finitely many such $x$. All $f_n$ are computable and their limit is $chi_S$...
    – usul
    Aug 24 at 14:28










  • @usul Yes, you’re right. I forgot to specify the additional restriction in the first sentence of Bjorn’s answer. If we don’t require that $f(x,n)$ be computable, then every set satisfies by definition. With that additional specification, you can diagonalize because the function $f(x,n)$ is a computable function that witnesses the fact that exactly one set is approximately computable.
    – Stella Biderman
    Aug 25 at 19:08










  • thanks. Another reason I asked was I also had trouble understanding that restriction and how the limit w.r.t. $n$ still makes sense, but I see now.
    – usul
    Aug 25 at 23:31












up vote
5
down vote

favorite
3









up vote
5
down vote

favorite
3






3





It seems that we can define a notion of being “approximately computable” where a set, $S$, is approximately computable if there is a family of computable functions $f_n(x)$ such that $$lim_ntoinfty f_n(x)=chi_S(x)$$ Under this definition, I believe that the halting set is approximately computable and that a set is computable if and only if it is uniformly approximately computable.



I haven’t been able to find anything online about this notion, or any other notion, of approximately computable. This doesn’t seem particularly novel, and I’m surprised I can’t find any resources on it. Has an idea of “approximately computable sets” been studied? Do they all collapse to merely computable for a reason I haven’t seen?



By diagonalization, there are set that aren’t approximately computable under my definition. It seems likely that any reasonable definition of “approximately computable” would similarly only apply to $aleph_0$-many sunsets of $P(mathbb N)$. Assuming that there is a reasonable definition, is there a criteria (perhaps a level of the arithmetic hierarchy) where all sets above that level are not approximately computable?




I am thinking about this because I’ve been reading about combinatorial game theory recently, and about games with only uncomputable winning strategies. It seems plausible that a computer might be able to play a game extremely close to optimally in some sense, perhaps that they play the closest to optimally of all programs of size $leq n$. Sets that don’t have a computable approximation seem like candidates for building games where computers can only play the game poorly. If anyone has references for investigations of this idea, I would be very interested in that as well.







share|cite|improve this question














It seems that we can define a notion of being “approximately computable” where a set, $S$, is approximately computable if there is a family of computable functions $f_n(x)$ such that $$lim_ntoinfty f_n(x)=chi_S(x)$$ Under this definition, I believe that the halting set is approximately computable and that a set is computable if and only if it is uniformly approximately computable.



I haven’t been able to find anything online about this notion, or any other notion, of approximately computable. This doesn’t seem particularly novel, and I’m surprised I can’t find any resources on it. Has an idea of “approximately computable sets” been studied? Do they all collapse to merely computable for a reason I haven’t seen?



By diagonalization, there are set that aren’t approximately computable under my definition. It seems likely that any reasonable definition of “approximately computable” would similarly only apply to $aleph_0$-many sunsets of $P(mathbb N)$. Assuming that there is a reasonable definition, is there a criteria (perhaps a level of the arithmetic hierarchy) where all sets above that level are not approximately computable?




I am thinking about this because I’ve been reading about combinatorial game theory recently, and about games with only uncomputable winning strategies. It seems plausible that a computer might be able to play a game extremely close to optimally in some sense, perhaps that they play the closest to optimally of all programs of size $leq n$. Sets that don’t have a computable approximation seem like candidates for building games where computers can only play the game poorly. If anyone has references for investigations of this idea, I would be very interested in that as well.









share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Aug 29 at 13:22

























asked Aug 23 at 3:11









Stella Biderman

580212




580212







  • 1




    "By diagonalization, there are set[s] that aren't approximately computable under my definition." Can you expand? I have trouble seeing why not all sets are approximately computable...my reasoning is that for any set $S$, we can take $f_n(x) = chi_S(x)$ for $|x| leq n$ and $f_n(x) = 0$ otherwise, by simply hardcoding the answers for the finitely many such $x$. All $f_n$ are computable and their limit is $chi_S$...
    – usul
    Aug 24 at 14:28










  • @usul Yes, you’re right. I forgot to specify the additional restriction in the first sentence of Bjorn’s answer. If we don’t require that $f(x,n)$ be computable, then every set satisfies by definition. With that additional specification, you can diagonalize because the function $f(x,n)$ is a computable function that witnesses the fact that exactly one set is approximately computable.
    – Stella Biderman
    Aug 25 at 19:08










  • thanks. Another reason I asked was I also had trouble understanding that restriction and how the limit w.r.t. $n$ still makes sense, but I see now.
    – usul
    Aug 25 at 23:31












  • 1




    "By diagonalization, there are set[s] that aren't approximately computable under my definition." Can you expand? I have trouble seeing why not all sets are approximately computable...my reasoning is that for any set $S$, we can take $f_n(x) = chi_S(x)$ for $|x| leq n$ and $f_n(x) = 0$ otherwise, by simply hardcoding the answers for the finitely many such $x$. All $f_n$ are computable and their limit is $chi_S$...
    – usul
    Aug 24 at 14:28










  • @usul Yes, you’re right. I forgot to specify the additional restriction in the first sentence of Bjorn’s answer. If we don’t require that $f(x,n)$ be computable, then every set satisfies by definition. With that additional specification, you can diagonalize because the function $f(x,n)$ is a computable function that witnesses the fact that exactly one set is approximately computable.
    – Stella Biderman
    Aug 25 at 19:08










  • thanks. Another reason I asked was I also had trouble understanding that restriction and how the limit w.r.t. $n$ still makes sense, but I see now.
    – usul
    Aug 25 at 23:31







1




1




"By diagonalization, there are set[s] that aren't approximately computable under my definition." Can you expand? I have trouble seeing why not all sets are approximately computable...my reasoning is that for any set $S$, we can take $f_n(x) = chi_S(x)$ for $|x| leq n$ and $f_n(x) = 0$ otherwise, by simply hardcoding the answers for the finitely many such $x$. All $f_n$ are computable and their limit is $chi_S$...
– usul
Aug 24 at 14:28




"By diagonalization, there are set[s] that aren't approximately computable under my definition." Can you expand? I have trouble seeing why not all sets are approximately computable...my reasoning is that for any set $S$, we can take $f_n(x) = chi_S(x)$ for $|x| leq n$ and $f_n(x) = 0$ otherwise, by simply hardcoding the answers for the finitely many such $x$. All $f_n$ are computable and their limit is $chi_S$...
– usul
Aug 24 at 14:28












@usul Yes, you’re right. I forgot to specify the additional restriction in the first sentence of Bjorn’s answer. If we don’t require that $f(x,n)$ be computable, then every set satisfies by definition. With that additional specification, you can diagonalize because the function $f(x,n)$ is a computable function that witnesses the fact that exactly one set is approximately computable.
– Stella Biderman
Aug 25 at 19:08




@usul Yes, you’re right. I forgot to specify the additional restriction in the first sentence of Bjorn’s answer. If we don’t require that $f(x,n)$ be computable, then every set satisfies by definition. With that additional specification, you can diagonalize because the function $f(x,n)$ is a computable function that witnesses the fact that exactly one set is approximately computable.
– Stella Biderman
Aug 25 at 19:08












thanks. Another reason I asked was I also had trouble understanding that restriction and how the limit w.r.t. $n$ still makes sense, but I see now.
– usul
Aug 25 at 23:31




thanks. Another reason I asked was I also had trouble understanding that restriction and how the limit w.r.t. $n$ still makes sense, but I see now.
– usul
Aug 25 at 23:31










1 Answer
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If the family function $f(x,n)=f_n(x)$ is computable then these are exactly the $Delta^0_2$ functions, or equivalently, the functions that are Turing reducible to the halting set $0'$, which are very well studied within computability-theory.



There are also other, not equivalent, notions of almost computable that go by names such as generically computable and coarsely computable, see e.g.
Jockusch et al.: Asymptotic Density and the Theory of Computability: A partial survey.






share|cite|improve this answer


















  • 2




    Thank you for the reply! I had meant to conjecture that my definition was equivalent to $Delta^0_2$, but I seem to have cut that line at some point. My question isn’t about this definition in particular though, it’s about conceptions of “approximately computable” (with this as a proposed illustrative definition). Is $Delta^0_2$ considered to correspond to the set of problems that are approximately computable?
    – Stella Biderman
    Aug 23 at 3:54










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1 Answer
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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
10
down vote



accepted










If the family function $f(x,n)=f_n(x)$ is computable then these are exactly the $Delta^0_2$ functions, or equivalently, the functions that are Turing reducible to the halting set $0'$, which are very well studied within computability-theory.



There are also other, not equivalent, notions of almost computable that go by names such as generically computable and coarsely computable, see e.g.
Jockusch et al.: Asymptotic Density and the Theory of Computability: A partial survey.






share|cite|improve this answer


















  • 2




    Thank you for the reply! I had meant to conjecture that my definition was equivalent to $Delta^0_2$, but I seem to have cut that line at some point. My question isn’t about this definition in particular though, it’s about conceptions of “approximately computable” (with this as a proposed illustrative definition). Is $Delta^0_2$ considered to correspond to the set of problems that are approximately computable?
    – Stella Biderman
    Aug 23 at 3:54














up vote
10
down vote



accepted










If the family function $f(x,n)=f_n(x)$ is computable then these are exactly the $Delta^0_2$ functions, or equivalently, the functions that are Turing reducible to the halting set $0'$, which are very well studied within computability-theory.



There are also other, not equivalent, notions of almost computable that go by names such as generically computable and coarsely computable, see e.g.
Jockusch et al.: Asymptotic Density and the Theory of Computability: A partial survey.






share|cite|improve this answer


















  • 2




    Thank you for the reply! I had meant to conjecture that my definition was equivalent to $Delta^0_2$, but I seem to have cut that line at some point. My question isn’t about this definition in particular though, it’s about conceptions of “approximately computable” (with this as a proposed illustrative definition). Is $Delta^0_2$ considered to correspond to the set of problems that are approximately computable?
    – Stella Biderman
    Aug 23 at 3:54












up vote
10
down vote



accepted







up vote
10
down vote



accepted






If the family function $f(x,n)=f_n(x)$ is computable then these are exactly the $Delta^0_2$ functions, or equivalently, the functions that are Turing reducible to the halting set $0'$, which are very well studied within computability-theory.



There are also other, not equivalent, notions of almost computable that go by names such as generically computable and coarsely computable, see e.g.
Jockusch et al.: Asymptotic Density and the Theory of Computability: A partial survey.






share|cite|improve this answer














If the family function $f(x,n)=f_n(x)$ is computable then these are exactly the $Delta^0_2$ functions, or equivalently, the functions that are Turing reducible to the halting set $0'$, which are very well studied within computability-theory.



There are also other, not equivalent, notions of almost computable that go by names such as generically computable and coarsely computable, see e.g.
Jockusch et al.: Asymptotic Density and the Theory of Computability: A partial survey.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Aug 23 at 5:27

























answered Aug 23 at 3:22









Bjørn Kjos-Hanssen♦

2,9921630




2,9921630







  • 2




    Thank you for the reply! I had meant to conjecture that my definition was equivalent to $Delta^0_2$, but I seem to have cut that line at some point. My question isn’t about this definition in particular though, it’s about conceptions of “approximately computable” (with this as a proposed illustrative definition). Is $Delta^0_2$ considered to correspond to the set of problems that are approximately computable?
    – Stella Biderman
    Aug 23 at 3:54












  • 2




    Thank you for the reply! I had meant to conjecture that my definition was equivalent to $Delta^0_2$, but I seem to have cut that line at some point. My question isn’t about this definition in particular though, it’s about conceptions of “approximately computable” (with this as a proposed illustrative definition). Is $Delta^0_2$ considered to correspond to the set of problems that are approximately computable?
    – Stella Biderman
    Aug 23 at 3:54







2




2




Thank you for the reply! I had meant to conjecture that my definition was equivalent to $Delta^0_2$, but I seem to have cut that line at some point. My question isn’t about this definition in particular though, it’s about conceptions of “approximately computable” (with this as a proposed illustrative definition). Is $Delta^0_2$ considered to correspond to the set of problems that are approximately computable?
– Stella Biderman
Aug 23 at 3:54




Thank you for the reply! I had meant to conjecture that my definition was equivalent to $Delta^0_2$, but I seem to have cut that line at some point. My question isn’t about this definition in particular though, it’s about conceptions of “approximately computable” (with this as a proposed illustrative definition). Is $Delta^0_2$ considered to correspond to the set of problems that are approximately computable?
– Stella Biderman
Aug 23 at 3:54

















 

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