Model for Knowledge Representation Using Sample Problems and Designing a Program for Automatically Solving Algebraic Problems
Nowadays there are many methods for representing knowledge such as semantic network, neural network, and conceptual graphs. Nonetheless, these methods are not sufficiently efficient when applied to perform and deduce on knowledge domains about supporting in general education such as algebra, analysis or plane geometry. This leads to the introduction of computational network that is a useful tool for representation knowledge base, especially for computational knowledge, especially knowledge domain about general education. However, when dealing with a practical problem, the authors often do not immediately find a new solution, but they search related problems which have been solved before and then proposing an appropriate solution for the problem.