Beyond the chalkboard: computer support for collaboration and problem solving in meetings
Communications of the ACM
Decision theory in expert systems and artificial intelligence
International Journal of Approximate Reasoning
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Interactive improvement of decision trees through flaw analysis and interpretation
International Journal of Human-Computer Studies
Readings in GroupWare and Computer-Supported Cooperative Work: Assisting Human-Human Collaboration
Readings in GroupWare and Computer-Supported Cooperative Work: Assisting Human-Human Collaboration
Machine Learning
On semantic nets, frames and associations
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Discovering Conceptual Differences among Different People via Diverse Structures
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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We propose a method for discovering conceptual differences (CD) among people from cases. In general different people seem to have different ways of conception and thus can have different concepts even on the same thing. Removing CD when people with different backgrounds and knowledge carry out collaborative works as a group; otherwise they cannot communicate ideas and establish mutual understanding even on the same thing. In our approach knowledge of users is structured into decision trees so that differences in concepts can be discovered as the differences in the structure of trees. Based on the candidates suggested by the system with our discovering algorithms, the users then discuss each other on differences in their concepts and modify them to reduce the differences. CD is gradually removed by repeating the interaction between the system and users. Experiments were carried out on the cases for motor diagnosis with artificially encoded CD. Admittedly our approach is simple, however, the result shows that our approach is effective to some extent as the first step toward dealing with the issue of CD among people.