This paper considers the design of agent strategies for deciding whether to help other members of a group with whom an agent is engaged in a collaborative activity. Three characte...
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Visual Analytics is the science of applying reasoning and analysis techniques to large, complex real-world data for problem solving using visualizations. Real world knowledge gath...
Computer agents are increasingly deployed in settings in which they make decisions with people, such as electronic commerce, collaborative interfaces, and cognitive assistants. Ho...
Raz Lin, Sarit Kraus, Yinon Oshrat, Ya'akov (Kobi)...