"An Approach to Guided Learning of Boolean
Mathematical and Computer Modeling,
1995, Vol. 23, No. 3, pp. 281-310.
Evangelos Triantaphyllou and Allen L. Soyster
A critical aspect in the problem of inductive inference
is the number of examples needed to
accurately infer a Boolean function from
positive and negative examples. In this paper we develop an approach
for deriving a sequence of examples for this problem.
Some computer experiments indicate that, on the
average, examples derived according to the proposed
approach lead to the inference of the correct function
considerably faster than when examples are derived in a random order.