We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
When reasoning about actions and sensors in realistic domains, the ability to cope with uncertainty often plays an essential role. Among the approaches dealing with uncertainty, t...
Humans continuously assess one another's situational context, modify their own affective state, and then respond based on these outcomes through empathetic expression. Virtua...
Scott W. McQuiggan, Jennifer L. Robison, Robert Ph...
Abstract. In this paper, we present a Notification Agent designed and implemented using Semantic Web Services. The Notification Agent manages alerts when critical financial situati...
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...