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AAAI
2010
13 years 6 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...
ATAL
2006
Springer
13 years 9 months ago
The use of agents in human learning systems
This paper examines agent-based systems designed for a variety of human learning tasks. These are typically split into two areas: "training", which generally refers to a...
Elizabeth Sklar, Debbie Richards
FOIS
2008
13 years 6 months ago
Cognitive Context and Arguments from Ontologies for Learning
The deployment of learning resources on the web by different experts has resulted in the accessibility of multiple viewpoints about the same topics. In this work we assume that lea...
Christiana Panayiotou, Brandon Bennett
COST
2009
Springer
185views Multimedia» more  COST 2009»
13 years 3 months ago
How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human?
Synchrony is claimed by psychology as a crucial parameter of any social interaction: to give to human a feeling of natural interaction, a feeling of agency [17], an agent must be a...
Ken Prepin, Philippe Gaussier
AAMAS
2004
Springer
13 years 5 months ago
Automated Assistants for Analyzing Team Behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. The complex interactions of ag...
Ranjit Nair, Milind Tambe, Stacy Marsella, Taylor ...