A.: Reasoning about Context in Ambient Intelligence Environments: A Report from the Field
Grigoris Antoniou, Constantinos Papatheodorou, Antonis Bikakis · 2010
The study of ambient computing (AmI) environments and pervasive computing systems has introduced new research challenges in the field of KR. These are mainly caused by the imperfect nature of context information, and the need to provide distributed reasoning capabilities. [4] characterizes four types of imperfect context information: unknown, ambiguous (inconsistent), imprecise, and erroneous. These imperfections may be caused by hardware, communication and sensor failures, and the need to integrate information from various sources. So far, most ambient computing frameworks have followed fully centralized approaches, while others have used blackboard and shared memory paradigms. Collecting the reasoning tasks in a central entity certainly has advantages in terms of control and coordination between.