Scientific computing visualization is also known as visualization. In an academic sense, a way of computing. It can convert data into intuitive geometric images, making it easier to understand. Visualization the use computer graphics and image processing techniques. technical means piles seemingly disorganized or images through special methods. Recording process recording sound signals on mediu...

Knowledge-based systems must be able to “intelligently” manage a large amount of information coming from different sources and at different moments in time. Intelligent systems must be able to cope with a changing world by adopting a “principled” strategy. Many formalisms have been put forward in the AI and DB literature to address this problem. Among them, belief revision is one of the most su...

This paper presents an approach to support the update of Knowledge-Based Engineering template instances. As result of this approach, engineers are provided with a sequence of documents, giving the order in which they have to be updated. The generation of the sequence is based on the dependencies. In order to be able to compute a sequence, information about templates, Computer-Aided Design model...

Interacting with huge conditional probability tables (i.e. variables with multiple states and multiple parents) in Bayesian belief networks (BBNs) makes it difficult for experts to create and employ probabilistic models. Although it is possible to learn the structure and conditional probabilities of Bayesian networks from existing data using a variety of algorithms, the role of human experts is...

Learning systems have been devised as a way of overcoming the knowledge acquisition bottleneck in the development of knowledge-based systems. They often cast learning to a search problem in a space of candidate solutions. Since such a space can grow exponentially, techniques for pruning it are needed in order to speed up the learning process. One of the biases used by Inductive Logic Programmin...

There is now extensive interest in reasoning about moving objects. A PST knowledge base is a set of PST-atoms which are statements of the form “Object o is/was/will be at location L at time t with probability in the interval [L,U]”. In this paper, we study mechanisms for belief revision in PSTKBs. We propose multiple methods for revising PST-KBs. These methods involve finding maximally consiste...

This paper considers the application of knowledge based techniques to the automatic interpretation of line drawing images and describes progress in the development of a practical system which, although not fully automatic, provides a framework for approaching that goal through a diminishing level of operator intervention. This is achieved using a knowledge bascd system which cooperates with a c...