1999
DOI: 10.1142/s0129054199000198
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Self-Specifying Machines

Abstract: We study the computational power of machines that specify their own acceptance types, and show that they accept exactly the languages that ≤ #P m -reduce to NP sets. A natural variant accepts exactly the languages that ≤ #P m -reduce to P sets. We show that these two classes coincide if and only if P #P[1] = P #P[1]:NP[O(1)] , where the latter class denotes the sets acceptable via at most one question to #P followed by at most a constant number of questions to NP.

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“…The work of this paper (especially Theorem 3.6), which first appeared in [21], should be compared with the independent work of Agrawal, Beigel, and Thierauf, which first appeared in [1]. In particular, let P BH j [1]:BH k [1] + denote the class of languages recognized by some polynomial-time machine making one query to a BH j oracle followed by one query to a BH k oracle and accepting if and only if the second query is answered "yes."…”
mentioning
confidence: 99%
“…The work of this paper (especially Theorem 3.6), which first appeared in [21], should be compared with the independent work of Agrawal, Beigel, and Thierauf, which first appeared in [1]. In particular, let P BH j [1]:BH k [1] + denote the class of languages recognized by some polynomial-time machine making one query to a BH j oracle followed by one query to a BH k oracle and accepting if and only if the second query is answered "yes."…”
mentioning
confidence: 99%
“…This is a property that seems to be deeply dependent on the "const"-ness. For example, it is not known whether P #P[1] = P #P[2] , and indeed it is known that if this seemingly unlikely equality holds then two complexity classes associated with self-specifying machines are equal[18].…”
mentioning
confidence: 99%