Degrees of inferability

  • Authors:
  • Peter Cholak;Efim Kinber;Rod Downey;Martin Kummer;Lance Fortnow;Stuart Kurtz;William Gasarch;Theodore A. Slaman

  • Affiliations:
  • -;-;-;-;-;-;-;-

  • Venue:
  • COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
  • Year:
  • 1992

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Abstract

Most theories of learning consider inferring a functionf from either (1) observations aboutf or, (2) questions aboutf. We consider a scenario whereby thelearner observes f and asks queriesto some set A.EX[A] is the set of concept classesEX-learnable by an inductiveinference machine with oracle A.A andF areEX-equivalent ifEX[A] = EX[B]. The equivalenceclasses induced are the degrees ofinferability. We prove several results about thesedegrees: (1) There are an uncountable number of degrees. (2) ForA r.e., REC &egr; BC[A] iff &0slash;&huml; ≤TA´, and there is evidence thisholds for all sets A. (3) ForA, B r.e.,A ≡T BiffEX[A] = EX[B]. (4) There existsA, B low2 r.e.,A|RB,EX[A] = EX[B]. (hence (3) isoptimal).