A cognitive approach for reproducing the homing behaviour of honey bees

Abstract

We describe the implementation if an agent-based controller for an autonomous robot with cognitive abilities that reproduce homing capability in the foraging behaviour of the honeybee. The agent is based on a symbolic representation of data and information and is written in a language designed to describe fine-grained large scale parallelism, the Street language (Frost et al. 2015). The objective of this approach is to enable the direct translation of agents written in Street into embedded hardware, to achieve compact, power efficient, autonomous cognitive processing capability.