Artificial Intelligence Classifiers and Their Social Impact

  • J. Carlos Aguado Chao
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 76)


This chapter is clearly divided into two parts. In the first one, the undeniable importance of classification in most of the goal-directed systems (we could spare the word intelligent only for human actions) will be briefly justified, and the main so-called Artificial Intelligence classification algorithms will be revisited. The possibilistic classifiers based on hybrid connectives will be more deeply presented, because of their novelty and power. After that, we will step out into unknown land and try to foresee by analogy some of the social changes that will be and are already being provoked by the new paradigms in information processing. Not surprisingly, there are no conclusions, because we are not concluding a process, but initiating it.


Artificial Neural Network Radial Basis Function Neural Network Qualitative Reasoning Artificial Intelligence Tool Possibility Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Physica-Verlag Heidelberg 2001

Authors and Affiliations

  • J. Carlos Aguado Chao
    • 1
  1. 1.Automatic Control Department (ESAII)Polytechnical University of Catalonia (UPC)BarcelonaSpain

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