Multi-agent systems (MAS) are increasingly being exploited to support autonomous recommendation of products and information to contemporary application users. Multi-agent system p...
Abstract—In this work, we propose a framework for supervisory cooperative estimation of multi-agent linear time-invariant (LTI) systems. We introduce a group of sub-observers, ea...
Many approaches of the agent paradigm emphasize the social and intentional features of their systems, what are called social properties. The study of these aspects demands their ow...
Although numerous context-aware applications have been developed and there have been technological advances for acquiring contextual information, it is still difficult to develop a...
Anind K. Dey, Timothy Sohn, Sara Streng, Justin Ko...
This paper presents an approach that uses special purpose RBAC constraints to base certain access control decisions on context information. In our approach a context constraint is...