Bacteria Nano Communications Described by a Machine Learning Theory Based on the Feynman Path Integral

Abstract

Richard Feynman invented the so-called physics-mathematics theory: path integrals inside the framework of elementary particles interactions. This theory has had a wide spectrum of applications in various scientific fields. In this paper we study bacteria communications through the conjunction of the Mitchell’s criteria and the path integral theory. The factor aggressive of some families of bacteria might be associated to the fact that most of them under displacement are in an indirect manner using the criteria as (i) task, (ii) performance, and (iii) experience. The path integral is used to model space-time trajectories that would enable us to anticipate through advanced Internet technologies such as the Internet of Bio-Nano Things.