INTELLIGENT SYSTEMS FOR KNOWLEDGE DISCOVERY

Initially an introduction is made consisting of the historical consideration of the knowledge society; next the technical background of this work is analyzed mainly composed of educational informatics and E-learning Systems; after the objectives that this research intends to achieve its methodology and stages are exposed. Subsequently the elaborated theoretical foundations. This synthesis leads to the computing infrastructure centered on Multi-agent Systems with a proposal for a single agent architecture to be used in all cases. Attention is paid to the process of human learning and to the human expert knowledge and student models. Next need to analyze these elements with total independence of specific domain of each Prototype. Next the construction of the agent factory comes into picture; the agent support modules and the structure of the remaining modules are specified. The subsystem for filtering and preparing information summaries is detailed as well as the tests carried out on it. This first volume also includes the affective computing techniques and Fuzzy Logic introduced in the factory indicating the details of their use as well as the problems they can solve.