Abstract--Norm-enforcement models applied in human societies may serve as an inspiration for the design of multi-agent systems. Models for norm-enforcement in multi-agent systems o...
Brigitte Burgemeestre, Joris Hulstijn, Yao-Hua Tan
This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We s...
Abstract. In this paper we present a mixed-initiative planning approach to humanrobot interaction in a rescue domain. We deploy a model-based executive monitoring system to coordin...
There is an increasing need for automated support for humans monitoring the activity of distributed teams of cooperating agents, both human and machine. We characterize the domain...
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...