Michael John Liebelt
Braden J. Phillips
The University of Adelaide, Australia
Artificial Intelligence, Honeybee, Agent-based system, Cognitive Computation.
Informatics in Control, Automation and Robotics
Robotics and Automation
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.