A guide to expert systems
Artificial intelligence
Principles of artificial intelligence
Principles of artificial intelligence
The commercial debut of artificial intelligence
Proceedings of the Second Australian Conference on Applications of expert systems
The elements of artificial intelligence using Common Lisp
The elements of artificial intelligence using Common Lisp
Expert systems human issues
Case-based reasoning: business applications
Communications of the ACM
Essentials of artificial intelligence
Essentials of artificial intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Artificial intelligence: theory and practice
Artificial intelligence: theory and practice
Computational intelligence: a logical approach
Computational intelligence: a logical approach
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Intelligent Systems for Engineering: A Knowledge-Based Approach
Intelligent Systems for Engineering: A Knowledge-Based Approach
Cooperating Expert Systems in Mechanical Design
Cooperating Expert Systems in Mechanical Design
Expert Systems for Engineers
Using computers and simulations in business education
MCBE'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in business and economics
| Hi-index | 0.00 |
The present study shows the basic aspects of dynamic and communicative teaching methods, highlighting their advantages. Some studied models of this interactive teaching are applied with technological support to the hardware and software areas and adapted to Engineering courses. We focus on software based on teaching methods, describing an Expert System that is used in a classical manufacturing problem. The text emphasizes the use of Artificial Intelligence to support interactive teaching methods.