Intelligent Systems

  • Danuta Rutkowska
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 85)


The neurofuzzy architectures and hybrid learning procedures, described in the previous chapters, can be employed to create so-called intelligent com putational systems. A general schema of these kind of systems is presented in this chapter. Intelligent systems usually refer to the field of Artificial In telligence (AT) or Computational Intelligence (CI). The difference between these branches of Computer Science is explained in Section 7.1. Then, ex pert systems are outlined (Section 7.2). Intelligent computational systems (Section 7.3) can be viewed as a special type of expert systems. Finally, in Section 7.4, perception-based systems are considered as intelligent systems in AI.


Expert System Fuzzy System Intelligent System Fuzzy Graph Fuzzy Expert System 
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

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Danuta Rutkowska
    • 1
  1. 1.Department of Computer EngineeringTechnical University of CzestochowaCzestochowaPoland

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