Prototyping Adaptive Online Learning Courses

This article describes the process of prototyping adaptive online learning using the authoring tool for developers, which is based on ontologies. The article also gives a brief overview of contemporary situation and describes modern trends of evolution e-learning courses and present standards in this area. It also describes architecture of system VITA II

THE GRAPHODYNAMIC MODELS AND METHODS OF THE PARALLEL ASYNCHRONOUS PROCESSING OF THE INFORMATION IN THE INTELLECTUAL SYSTEMS

The purpose of the work: the creation of the hard- and software complex of means of design of the parallel intellectual systems. Developed, investigated and justified have been the hierarchic system of the graphodynamic models of the parallel asynchronous processing of information and the method of its interpretation; the language means and methods for the formation of the graph languages of presentation of the knowledge and programming; the principles of integration of the graph bases of knowledge and programs; the large-grain architecture of the graphodynamic associative computer and the multitrasnputer variant of its realization. All results are new and recommended for use in the Higher Schools and Academies.Available from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio

Интеграция искусственных нейронных сетей и баз знаний

Головко Владимир Адамович, Крощенко Александр Александрович, Голенков Владимир Васильевич, Ивашенко Валериан Петрович, Ковалев Михаил Владимирович, Таберко Валерий Васильевич, Иванюк Дмитрий Сергеевич. Интеграция искусственных нейронных сетей и баз знанийThis article reviews the questions and directions of integration of artificial neural networks with knowledge bases. There are two main directions of integration: 1) the inputs and outputs of artificial neural network to use integration of knowledge bases and artificial neural networks for solutions of application problems; 2) by artificial neural network representation on the basis ofontological structures and its interpretation by means of knowledge processing in the knowledge base providing an intelligent environment for the development, training and integration of different artificial neural networks compatible with knowledge bases. The knowledge bases that are integrated with artificial neural networks are built on the basis of homogeneous semantic networks and multiagent approach to represent and process knowledge