Model for Knowledge Bases of Computational Objects
نویسنده
چکیده
In the artificial intelligence field, knowledge representation and reasoning are important areas for intelligent systems, especially knowledge base systems and expert systems. Knowledge representation Methods has an important role in designing the systems. There have been many models for knowledge such as semantic networks, conceptual graphs, and neural networks. These models are useful tools to design intelligent systems. However, they are not suitable to represent knowledge in the domains of reality applications. In this paper, new models for knowledge representation called model for knowledge bases of computational objects will be presented. We also present the model for representing problems and algorithms, design methods using the model to construct applications.
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تاریخ انتشار 2010