The introduction of the intelligence in teaching software is the object of this paper. In software elaboration process, one uses some learning techniques in order to adapt the teaching software to characteristics of student. Generally, one uses the artificial intelligence techniques like reinforcement learning, Bayesian network in order to adapt the system to the environment internal and external conditions, and allow this system to interact efficiently with its potentials user. The intention is to automate and manage the pedagogical process of tutoring system, in particular the selection of the content and manner of pedagogic situations. Researchers create a pedagogic learning agent that simplifies the manual logic and supports progress and the management of the teaching process (tutor-learner) through natural interactions.
Tutoring systems become complex and are offering varieties of pedagogical software as course modules, exercises, simulators, systems online or offline, for single user or multi-user. This complexity motivates new forms and approaches to the design and the modelling. Studies and research in this field introduce emergent concepts that allow the tutoring system to interact efficiently with potential users, by enhancing ergonomic service, performing response time and allowing better adaptability. The introduction of concepts such as multi-agent systems (MAS) allowed web technology to improve the process of modeling and designing for distance learning, and thus offer convincing solutions. The presentation of some relevant projects that associate MAS to the Web may highlight the benefits of this association in an innovative way.