Intelligent Agent-Based Approach for Distance Learning

1 Departamento de Engenharia de Computação, Universidade do Vale do Itajaí AbstractThis work proposes a multi-agent approach for the development of personal software agents supported by networks. Personal assistants that help users with several tasks like finding information, learning, scheduling calendars or consulting to decision-making are generalpurpose systems that can be viewed as a collection of intelligent agents. A distributed framework with three different types of agents will be defined in this paper. Each type of agent uses different intelligent techniques to solve specific problems. The combination of these agents provides an environment that supports and mediates the cooperative work and learning in a network. The use of the proposed framework for supporting distance learning will be shown as an application. In addition, this paper will discuss another possible scenario: an application for working capital administration.