Soft Computing Agents for Remote Learning

The paper describes a soft computing agent approach to remote learning, which is applied to disabled people suffering from dyslexia. Dyslexia is defined as learning disability by four psychologically obtained factors that present grade of learning deficiency. They are preliminary provided for better understanding and formalization of remote learning process applied to disable people. The paper discusses selection of appropriate groups for definition of individual remote learning purposes. Soft computing agents are used to perform two tasks: optimal partitioning of distributed data bases in accordance with a grade of disability, and coordination in distributed environment for remote group definition. The first task is realized via two-level hierarchical fuzzy system for optimization of dyslectic parameters. The second is achieved by means of mobile intelligent agents for transmission, coordination, activation, and receiving decisions from/to remote learning nodes. As a final decision the node soliciting optimal group choice obtains information for the group distribution over the whole system. Key-Words: Learning disability, partitioning in groups, remote learning, soft computing agent