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.

Autorentext

M.EL ALAMI Hassoun,Ph.D. from the School of Informatics, Polytechnic University of Madrid. Professor and Head of the Department of Mathematics and Informatics at National School of Applied Sciences Tangier (ENSAT) Abdelmalek Essaâdi University. His research interests are: Cognitive neuroscience, Knowledge-based systems, Intelligent E-learning, ML.