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AMPLIA Learning Environment Architecture
Cecilia Flores, Louise Seixas, João Gluz, Rosa Vicari, Diego Patrício, Felipe Giacomel, Leandro Gonçalves
662 - 665
Frontiers in Artificial Intelligence and Applications
Volume 133: Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences
Abstract

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.

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