We study the problem of fairly dividing a set of goods amongst a group of agents, when those agents have preferences that are ordinal relations over alternative bundles of goods (r...
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
The explosive growth of location-detection devices, wireless communications, and mobile databases has resulted in the realization of location-based services as commercial products...
The increasing ubiquity of mobile computing devices has made mobile ad hoc networks an everyday occurrence. Applications in these networks are commonly structured as a logical netw...
In order for personal assistant agents in an ambient intelligence context to provide good recommendations, or pro-actively support humans in task allocation, a good model of what t...