Reflective inductive inference of recursive functions

AbstractIn this paper, we investigate reflective inductive inference of recursive functions. A reflective IIM is a learning machine that is additionally able to assess its own competence.First, we formalize reflective learning from arbitrary, and from canonical, example sequences. Here, we arrive at four different types of reflection: reflection in the limit, optimistic, pessimistic and exact reflection.Then, we compare the learning power of reflective IIMs with each other as well as with the one of standard IIMs for learning in the limit, for consistent learning of three different types, and for finite learning

Kārawān, 1347-09-19, 1968-12-10

The volume and issue of this edition is Kārawān, v. 1, no. 66. The numbers in the title refer to the date of the edition, with the first set of numbers representing the Persian calendar and the second set of numbers representing the date in the Gregorian calendar. Editor: 1968- Abdul Haq Waleh. Title transliterated into English : Caravan. Lumṛay kal̄, Shpeg shpetuma ganạh [vol. 1, no. 66] (Qaws. 19, 1347 [December 10, 1968]).https://digitalcommons.unomaha.edu/karawan/1069/thumbnail.jp