Abstract
Intelligent Problem Solver (IPS) is an intelligent system for solving practical problems in the determined domain by using human knowledge. Thus, designing of the knowledge base and the inference engine of IPS systems are important. This study proposed a general model for knowledge representation by using a kernel ontology combining other knowledge components, called Integ-Ontology Based on this model, the model of problems is presented. The reasoning method is also proposed. This method includes the inference processing and techniques of heuristic rules, sample problems and pattern to speed up the problem solving. The Integ-Ontology and its reasoning method are applied to design practical IPS in solid geometry and Direct Current (DC) Electrical Circuits.
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