In Ambient Intelligence (AmI) systems, reasoning is fundamental for triggering actions or adaptations according to specific situations that may be meaningful and relevant to some applications. However, such reasoning operations may need to evaluate context data collected from distributed sources and stored in different devices, as usually not all context data is readily available to the reasoners within the system.

"Decentralized Reasoning in Ambient Intelligence" proposes a decentralized reasoning approach for performing rule-based reasoning about context data targeting AmI systems....