Sensors 2012, 12(7), 9210-9233; doi:10.3390/s120709210

A Reasoning Hardware Platform for Real-Time Common-Sense Inference

Department of Technology and Information Systems, Computer Engineering School, University of Castilla-La Mancha, Ciudad Real 13071, Spain
* Author to whom correspondence should be addressed.
Received: 15 May 2012; in revised form: 13 June 2012 / Accepted: 27 June 2012 / Published: 4 July 2012
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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.
Keywords: common-sense; context reasoning and understanding; FPGA; hardwareacceleration

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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.

AMA Style

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.

Chicago/Turabian Style

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.

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