Abstract
In this work, taking advantage of the fiftieth anniversary of Artificial
Intelligence (AI), we consider the disparity that exist between the excessive initial objectives
of synthesizing general intelligence in machines and the modest results obtained
after half a century of work. We mention some of the possible causes of this disparity
(constitutive differences between man and machines, lack of a theory of computable
knowledge and oblivion of the solid work made by the pioneers of Cybernetics). Then
we go over the history until we arrive to the current AI paradigms (symbolic, situated
and connectionist) in search of its cybernetics roots and conclude with some suggestions
on the strategic decisions that could be adopted to progress in the understanding
of intelligence.
