Approximate inference for medical diagnosis
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Inferring user goals from personality and behavior in a causal model of user affect
Proceedings of the 8th international conference on Intelligent user interfaces
APPEAL: A Multi-Agent Approach to Interactive Learning Environments
MAAMAW '94 Proceedings of the 6th European Workshop on Modelling Autonomous Agents: Distributed Software Agents and Applications
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
A collaborative intelligent tutoring system for medical problem-based learning
Proceedings of the 9th international conference on Intelligent user interfaces
User Motivation and Persuasion Strategy for Peer-to-Peer Communities
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Believable groups of synthetic characters
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A collaborative Bayesian net editor to medical learning environments
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
A multi-agent intelligent environment for medical knowledge
Artificial Intelligence in Medicine
Collaborative groups in a medicalleaming environment
Intelligent Decision Technologies
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This paper addresses collaborative learning in the medical domain. In particular, it focuses on the evaluation of a component specially devised to promote collaborative learning using AMPLIA. AMPLIA is an intelligent multi-agent environment to support diagnostic reasoning and the modeling of diagnostic hypotheses in domains with complex, and uncertain knowledge, such as the medical domain. Recently, AMPLIA has been extended with a new component providing support in workgroup formation. Workgroups are proposed based on individual aspects of the students, such as learning style, performance, affective state, personality traits, and also on group aspects, such as acceptance and social skills. The paper also presents and discusses the results of an experiment evaluating the performance of workgroups composed according to suggestions provided by the system.