Fermi Estimate on the Web: Placing Sensor Networks on the Web with Noise
Yoshiteru Ishida, Ryunosuke Chiba · Procedia Computer Science · 2015
This paper proposes a framework for web intelligence based on virtual sensor networks on the web. “Strong AI” requires a framework that allows the AI to make inferences using incomplete, dynamic and growing data on the web. An example of such inferences may be found in the human reasoning known as the “Fermi estimate”. However, the huge amounts of data available through the internet necessitate an appropriate reasoning engine. The Fermi estimate is reformulated to be used in a virtual sensor network and several examples are discussed.