Authors:
Xin Yuan
;
Michael John Liebelt
and
Braden J. Phillips
Affiliation:
The University of Adelaide, Australia
Keyword(s):
Artificial Intelligence, Honeybee, Agent-based system, Cognitive Computation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Autonomous Systems
;
Cognitive Robotics
;
Cognitive Systems
;
Computational Intelligence
;
Evolutionary Computing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Soft Computing
;
Symbolic Systems
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.