Abstract
The aim of the study is to develop an ontological model of multiagent smart-system of distance learning for visually impaired people based on Java Agent Development Framework for obtaining high-quality engineering education in laboratories of join use on modern equipment. Materials and methods of research. In developing multi-agent smart-system of distance learning, using various agents based on cognitive, ontological, statistical and intellectual methods is important. It is more convenient to implement this task in the form of software using multi-agent approach and Java Agent Development Framework. The main advantages of the platform are stability of operation, clear interface, simplicity of creating agents and extensive user database. In multi-agent systems, the solution is obtained automatically as result of interaction of many independent, purposeful agents. Each agent can perform certain tasks and pursue specified goals. Intellectual multi-agent systems and practical applications in distance learning based on them are considered. Results. The structural diagram of functioning of smart system distance learning for visually impaired people using various agents based on the system approach and the multi-agent platform Java Agent Development Framework is developed. The complex approach of distance learning of visually impaired people for obtaining highquality engineering education in laboratories of joint use on modern equipment is offered. The ontological model of multi-agent smart-system with a detailed description of the functions of following agents is created: personal, manager, ontological, cognitive, statistical, intellectual, shared laboratory agent, health agent, assistant to the agent and state agent. These agents execute their individual functions and provide a quality environment for learning. Conclusion. Thus, the proposed smart-system of distance learning for visually impaired people can significantly improve effectiveness and quality of the received education of this category of people. The benefits of using of the developed ontological model of smartsystem of distance learning for visually impaired people based on multifunctional agents are: complex approach, based on the use of various intellectual, cognitive and statistical methods; possibility of developing an individual trajectory of learning for visually impaired people including the psychophysiological features of perception information; distance access to the latest technological equipment for performing laboratory and practical works by visually impaired people in the shared laboratories in real time. The ontological model provides to analyze more deeply the numerous connections between agents and considers it in developing software for smart-system of distance learning for visually impaired people. Multi-agent approach provides multi functionality of system, stability to system errors, and optimization of computing resources.
Highlights
Nowadays, distance learning (DL) is widely used to obtain affordable, quality and effective education
There is a fragment of the graphical representation of the ontological model of the multi-agent smart-system of DL for people with impaired vision (PIV) using the OntoGraf tool in Prot g. This information system is presented in the form of a graph, the nodes of which represent concepts, and directed relations arcs which allow us to examine in detail the subject area of distance learning of PIV
The conducted researches and numerous publications on this question demonstrate the relevance of development of Smartsystems of DL based on intellectual approaches for visually impaired people, including with visual impairments
Summary
Distance learning (DL) is widely used to obtain affordable, quality and effective education. Organization of the process of elearning involves spending a lot of time at the computer, which negatively affects the visual apparatus The creation of such specialized systems, aimed at adapting people with impaired vision (PIV) in society, is one of the important problems of modern distance education. The multi-agent system helps the student to select the material necessary for him to learn on the basis of the data collection and processing using ontological models. At the end of the article there is given a conclusion and a list of used literature
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