Automata techniques for query inference machines

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Abstract

In prior papers the following question was considered: which classes of computable sets can be learned if queries about those sets can be asked by the learner? The answer depended on the query language chosen. In this paper we develop a framework (reductions) for studying this question. Essentially, once we have a result for queries to [S,<]2, we can obtain the same result for many different languages. We obtain easier proofs of old results and several new results. An earlier result we have an easier proof of: the set of computable sets cannot be learned with queries to the language [+,<] (in notation: COMP∉QEX[+,<]). A new result: the set of computable sets cannot be learned with queries to the language [+,<,POWa] where POWa is the predicate that tests if a number is a power of a.

MSC

03B25

Keywords

Decidability
Inductive inference

Cited by (0)

1

Supported in part by NSF grants CCR-8803641 and CCR-9020079.

2

Some of the work was done when this author was at Odyssey Research Associates.