A CYBERNETIC VIEW OF ARTIFICIAL INTELLIGENCE

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.

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