Abstract
Intelligent behavior is an emergent phenomenon observed in biological
organisms across all scales. It describes the cooperative behavior of
low complexity entities to accomplish complex tasks, which exceed their
individual capabilities. This property is particularly important for the
Internet of Bio-Nano Things (IoBNT), which consists of Bio-Nano Things
(BNTs) used in the human body, where they face many restrictions, such
as bio-compatibility and size constraints. In this paper, we present a
novel BNT-architecture, called Molecular Nano Neural Networks (M3N),
which allows the implementation of intelligence on the
micro-/nano-scale. The proposed structure consists of compartments (low
complexity entities) that are connected to each other to form a network.
Based on reaction and diffusion of molecules in and between connected
compartments, this network mimics an artificial neural network, which is
an important step towards  artificial intelligence in the IoBNT. We
provide design guidelines for the proposed M3N and successfully validate
it by applying a regression and classification task.