Innovative Teaching and Learning Knowledge-Based Paradigms /

• Main Author: Jain, Professor Lakhmi C. (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2000.
• Edition: 1st ed. 2000.
• Series: Studies in Fuzziness and Soft Computing, 36
• Subjects: Artificial intelligence.; Information technology.; Business-Data processing.; Artificial Intelligence.; IT in Business.
• Physical Description: XII, 334 p. online resource.
• ISBN: 9783790818680
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-7908-1868-0

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.