Academic networks can represent a new model for learning based on knowledge fusion. In the current paper we present an approach to the academic network design that brings together expertise of academic trainers and practitioners, and opens new paths in…

The procedures of searching solutions to problems, in Artificial Intelligence, can be brought about, in many occasions, without knowledge of the Domain, and in other situations, with knowledge of it. This last procedure is usually called Heuristic Search. In such…

Memory is not a single faculty but is a combination of multiple distinct abilities (Schacter, 1987). The declarative-procedural distinction is used both with regard to knowledge and memory that stores this knowledge. Ellis (2008) used the terms explicit/implicit, and declarative/procedural…

The proposed transformation module performs mapping be-tween two di®erent knowledge representation forms used in grammar induction systems. The kernel knowledge representation form is a special predicate centered conceptual graph called ECG. The ECG provides a semantic-based, language independent description of…

AI requires Logic. But its Classical version shows too many insufficiencies. So, it is very necessary to introduce more sophisticated tools, as may be Fuzzy Logic, Modal Logic, Non-Monotonic Logic, and so on [2]. Among the things that AI needs…

            Memory is not a single faculty but is a combination of multiple distinct abilities (Schacter, 1987). The declarative-procedural distinction is used both with regard to knowledge and memory that stores this knowledge. Ellis (2008) used the terms explicit/implicit, and…

The paper presents a framework for a distributed medical system meant to bring a modern approach and inhance the quality of medical services offered to chronicle patients with cardio-vascular diseases, through the latest IT&C technologies. The proposed system provides online…

In a computerized society, the volume of data grows unexpectedly, making their processing time a very difficult task. A priority has become the processing of data in useful information and knowledge. Thus we can say that data mining is a…

Pattern recognition aims to classify data (patterns) based ei-ther on a priori knowledge or on statistical information extracted from the data. In this paper we will concentrate on statistical pattern recognition using a new probabilistic approach which makes possible to…

The purpose of the study was to formulate a model to predict the performance of Iranian high school third-graders on the End of the Course Achievement (ECA) tests through their performance on the vocabulary tests, which were administered throughout the…