A multi-agent architecture for human-computer interaction
Iulian Pah, Daniel Ioan Hunyadi, Dan Chiribucă · Annual Conference on Computers · 2008
The main goal of this article is to develop a virtual educational environment model which makes learning easier by using collaboration (and extension, team-research model) as a form of social interplay. The model represents a universe where human agents interact with artificial agents (software agents). Considering the vision of the system, it can be classified among advanced systems for it is client-oriented (student) and provides value added educational services, due to the collaborative learning attribute. The model proposes an original architecture where elements of the socio-cultural theory of collaborative learning are assigned to the artificial intelligence components (the multi-agent system). The expected results are: conceptual models (agents, learning and teaching strategies, student profiles and group profiles, communication between agents, negotiation strategies and coalition formation), software entities, and a methodology to evaluate the performance of eLearning systems.