Abstract: Enabling Ambient Intelligence systems to understand the activities that are taking place in a supervised context is a rather complicated task. Moreover, this task cannot be successfully addressed while overlooking the mechanisms (common-sense knowledge and reasoning) that entitle us, as humans beings, to successfully undertake it. This work is based on the premise that Ambient Intelligence systems will be able to understand and react to context events if common-sense capabilities are embodied in them. However, there are some difficulties that need to be resolved before common-sense capabilities can be fully deployed to Ambient Intelligence. This work presents a hardware accelerated implementation of a common-sense knowledge-base system intended to improve response time and efficiency.
This is an open access article distributed under the
Creative Commons Attribution License which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Export to BibTeX
MDPI and ACS Style
Barba, J.; Santofimia, M.J.; Dondo, J.; Rincón, F.; Sánchez, F.; López, J.C. A Reasoning Hardware Platform for Real-Time Common-Sense Inference. Sensors 2012, 12, 9210-9233.
Barba J, Santofimia MJ, Dondo J, Rincón F, Sánchez F, López JC. A Reasoning Hardware Platform for Real-Time Common-Sense Inference. Sensors. 2012; 12(7):9210-9233.
Barba, Jesús; Santofimia, Maria J.; Dondo, Julio; Rincón, Fernando; Sánchez, Francisco; López, Juan Carlos. 2012. "A Reasoning Hardware Platform for Real-Time Common-Sense Inference." Sensors 12, no. 7: 9210-9233.