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.

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 bi...

Table of Contents:

• D. Tedman, L.C. Jain: An Introduction to Innovative Teaching and Learning
• R.S.T. Lee, J.N.K. Liu: Teaching and Learning the AI Modeling
• C.L. Karr, C. Sunal, C. Smith: Artificial Intelligence Techniques for an Interdisciplinary Science Course
• J.F. Vega-Riveros: On the Architecture of Intelligent Tutoring Systems and its Application to a Neural Networks Course
• V. Devedzic: Teaching Knowledge Modeling at the Graduate Level - a Case Study
• V. Devedzic, D. Radovic, L. Jerinic: Innovative Modeling Techniques for Intelligent Tutoring Systems
• J. Fulcher: Teaching Course on Artificial Neural Networks
• T. Hiyama: Innovative Education for Fuzzy Logic Stabilization of Electric Power Systems in a Matlab/Simulink Environment
• W.L. Goh, S.K. Amarasinghe: A Neural Network Wokbench for Teaching and Learning
• C.A. Higgins, F.Z. Mansouri: PRAM: A Courseware System for the Automatic Assessment of AI Programs.