A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees

Xin Yuan, Michael John Liebelt, Braden J. Phillips

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.

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Paper Citation


in Harvard Style

Yuan X., Liebelt M. and Phillips B. (2017). A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 543-550. DOI: 10.5220/0006195705430550


in Bibtex Style

@conference{icaart17,
author={Xin Yuan and Michael John Liebelt and Braden J. Phillips},
title={A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={543-550},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006195705430550},
isbn={978-989-758-220-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees
SN - 978-989-758-220-2
AU - Yuan X.
AU - Liebelt M.
AU - Phillips B.
PY - 2017
SP - 543
EP - 550
DO - 10.5220/0006195705430550