Presented are innovative teaching and learning techniques for the
teaching of knowledge-based paradigms. The main knowledge-based
intelligent paradigms are expert systems, artificial neural
networks, fuzzy systems and evolutionary computing. Expert systems
are designed to mimic the performance of biological systems.
Artificial neural networks can mimic the biological information
processing mechanism in a very limited sense. Evolutionary
computing algorithms are used for optimization applications, and
fuzzy logic provides a basis for representing uncertain and
imprecise knowledge.
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