Model of rule engines applied in the intelligent systems

The aim of the present paper is the analysis of rule systems used in the implemented Intelligent Tutorial Systems using various technologies. The ready – made shells are used for majority of the systems being discussed herein; the CTAT shell is the most popular type. The rule programming languages i.e. Prolog, SmallTack and others have been used as the basis in the remaining cases. Those tools are necessary to organize the control – the decision whose production will be used as the next one must be made by the system in every stage of the learning process. Using the dynamic planning, the Agent controlling the individual student path may decide when and how to teach in the next step. Therefore the choice of inference strategy and the selection of the tools to be used for rules control are important, which has been described in the present paper. 1. Expert systems in tutorial applications The term „expert system” is applied for the program which enables the drawing of conclusions and decision making on the basis of detailed knowledge. The functioning of that system is similar to the human thinking process. The decisions to be made in the scope of Intelligent Tutorial Systems may be associated with the learning methods as well as with the choice of content. The generated results are used in the expert systems [2], as well as the criticizing systems [3] and those making the decisions without human control [4]. The latter will be the main focus of the present paper. The knowledge acquisition module is one of the most important modules in an expert system. The purpose of the knowledge acquisition module is to ensure the system development as a result of the inflow of new information and the modification Corresponding author: e-mail address: [email protected] Pobrane z czasopisma Annales AIInformatica http://ai.annales.umcs.pl Data: 24/08/2017 00:32:53