Abstract
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.
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© 2002 Springer-Verlag Berlin Heidelberg
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Rutkowska, D. (2002). Intelligent Systems. In: Neuro-Fuzzy Architectures and Hybrid Learning. Studies in Fuzziness and Soft Computing, vol 85. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1802-4_7
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DOI: https://doi.org/10.1007/978-3-7908-1802-4_7
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2500-8
Online ISBN: 978-3-7908-1802-4
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