Akrmf-Usermodeling offers an effective technique for determining user requirements and for enhancing the relationship between a user's cognitive abilities and software sophistication. Specifically, this study discusses the usefulness of neural networks and expert systems for modeling users in an an environment in which information about software is retrieved. This study also describes the framework of prototype implementation which is an objectoriented intelligent consulting system for selecting appropriate problem-solving software.
The purpose of this paper is to introduce an intelligent forecasting support system to assist an auditor in assessing audit risks. In practice, auditors make judgments by using their expertise and experiences when performing this task. However, the lack of systematic and consistent criteria for risk assessment can prevent auditors from determining the risk factors in an effective and lor efficient manner. An Artificial neural network is known for its ability to learn, generalize, and categorize data. An expert system can provide explanation of results. By applying these two technologies, this combined system can help auditors perform risk assessment tasks more systematically and consistently.
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