Abstract
While some computational models of intelligence
test problems were proposed throughout the second half of the XXth century, in the first years of
the XXIst century we have seen an increasing number of computer systems being able to score well
on particular intelligence test tasks. However, despite this increasing trend there has been no general account of all these works in terms of how they
relate to each other and what their real achievements are. In this paper, we provide some insight
on these issues by giving a comprehensive account
of about thirty computer models, from the 1960s
to nowadays, and their relationships, focussing on
the range of intelligence test tasks they address, the
purpose of the models, how general or specialised
these models are, the AI techniques they use in each
case, their comparison with human performance,
and their evaluation of item difficulty.