Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/109835
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Type: Conference paper
Title: A cognitive approach for reproducing the homing behaviour of honey bees
Author: Yuan, X.
Liebelt, M.
Phillips, B.
Citation: Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017 / vol.2, pp.543-550
Publisher: SCITEPRESS
Publisher Place: Portugal
Issue Date: 2017
ISBN: 9789897582202
Conference Name: 9th International Conference on Agents and Artificial Intelligence (ICAART) (24 Feb 2017 - 26 Feb 2017 : Porto, Portugal)
Statement of
Responsibility: 
Xin Yuan ; Michael John Liebelt and 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.
Keywords: Honeybee; Artificial Intelligence; Agent-based system; Cognitive Computation
Rights: Copyright © 2017 by SCITEPRESS
RMID: 0030071735
DOI: 10.5220/0006195705430550
Appears in Collections:Electrical and Electronic Engineering publications

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