The architecture of a multi-agent learning environment (AMPLIA) is detailed. The design of each agent is divided into Decision, Operational and Interaction levels. Decisions are modeled by means of a probabilistic inference process. At the operational level, each agent has a different set of modules or software components and a single ontology is used in the communication, sharing knowledge and information. The learning process of a student at an experimental course is presented.
['Cecilia Dias Flores', 'Louise J. Seixas', 'João Carlos Gluz', 'Rosa Maria Vicari', 'Diego Patricio', 'Felipe dos Santos Giacomel', 'Gonçalves Lf']
AMPLIA Learning Environment Architecture