CFP last date
20 May 2024
Reseach Article

Modeling Function of Nectar Foraging of Honeybees using Operant Conditioning

by Subha Fernando
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 7
Year of Publication: 2014
Authors: Subha Fernando

Subha Fernando . Modeling Function of Nectar Foraging of Honeybees using Operant Conditioning. International Journal of Computer Applications. 104, 7 ( October 2014), 45-51. DOI=10.5120/18218-9248

@article{ 10.5120/18218-9248,
author = { Subha Fernando },
title = { Modeling Function of Nectar Foraging of Honeybees using Operant Conditioning },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 7 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 45-51 },
numpages = {9},
url = { },
doi = { 10.5120/18218-9248 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:35:34.614386+05:30
%A Subha Fernando
%T Modeling Function of Nectar Foraging of Honeybees using Operant Conditioning
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 7
%P 45-51
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Behaviors of the colonies of small unsophisticated agents have been analyzed in the literature with the purpose of developing efficient algorithms to solve complex, dynamic and burden problems in other societies. Among them, only a few research have been conducted in the area of swarm cognition which tries to understand the cognitive behaviors exhibited by human brain by using the cognitive behaviors demonstrated by a colony as a self-organized entity. In this aspect, the role of a neuron and a role of a insect have been equally considered as an unsophisticated agent which adjusts its actions according to the fluctuations of local environment without knowing any global information. The cognitive behavior, such as effective labor division of honeybees at food foraging process, was analyzed in this paper and has been exploited under operant conditioning. The paper has proposed a simple but effective computational model which demonstrates that, the positive reinforcement and the negative reinforcement in operant conditioning are the real factors that affect to the emergent of cognitive behaviors at swarm level when swarm is observed as a self-organized entity.

  1. Ahmed H. and Glasgow J. 2012 Swarm Intelligence: Concepts, Models and Applications, Technical Report 2012-585, School of Computing, Queen's University, Canada.
  2. Blum C. 2005 Ant colony optimization: Introduction and recent trends, Physics of Life Reviews 2 (2005) 353–373.
  3. Karaboga D. and Akay B. 2009 A Survey: Algorithms Simulating Bee Swarm Intelligence; Artificial Intelligence Review; 31 (1), pp. 68-85.
  4. Krink T. Swarm Intelligence - Introduction , EVALife Group, Department of Computer Science, University of Aarhus.
  5. Myerscough M. R. 2003 Dancing for a decision: a matrix model for nest-site choice by honeybees, Proc. R. Soc. Lond. 270(1515)577-582.
  6. Bailis P. , Nagpal R. and Werfel J. 2010 Positional Communication and Private Information in Honeybee Foraging Models, in Swarm Intelligence, Eds. Springer Berlin Heidelberg, pp. 263–274.
  7. Trianni V. and Tusi E. 2011 Swarm Cognition and Artificial Life, Advances in Artificial Life. Darwin Meets von Neumann, Lecture Notes in Computer Science:5778:270-277
  8. Trianni V. , Tusi E. , Passino, E. M. , Marshell J. A. R. 2011 Swarm Cognition: an interdisciplinary approach to the study of self-organizing biological collectives, Swarm Intelligence:5:3-18.
  9. Abbott L. F. and Nelson S. B 2000 Synaptic Plasticity: taming the beast, Neuroscience, vol. 3. pp. 1178-1183.
  10. Cherry K, How Classical Conditioning Works, About. com Psychology, 05-Aug-2014. [Online].
  11. Skinner, B. F. (1954). The science of learning and the art of teaching. Harvard Educational Review, 24(2), 86-97.
  12. Skinner, B. F. (1950). Are theories of learning necessary? Psychological Review, 57(4), 193-2
  13. Cherry K, What's Different Between the Classical and Operant Conditioning?, About. com Psychology, 05-Aug-2014. [Online]
  14. Cammaerts M. 2004 Classical conditioning, temporal learning and spatial learning in the ant Myrmica sabuleti, Biologia, Bratislava, 59/2: 243|256.
  15. Gil M. 2010 Reward expectations in honeybees, Communicative & Integrative Biology 3:2, 95-100.
  16. Seeley T. D. , Mikheyev A. S. , and Pagano G. J. 2000 Dancing bees tune both duration and rate of waggle-run production in relation to nectar-source profitability, J. Comp. Physiol. [A], vol. 186, no. 9, pp. 813–819.
  17. Yahya H. The miracle of the Honeybee 2007, chapter 2-3.
  18. Thom C 2003 The tremble dance of honey bees can be caused by hive-external foraging experience, J. Exp. Biol. , vol. 206, no. Pt 13, pp. 2111–2116.
  19. Seeley T. D. 1992 The tremble dance of the honey bee: message and meanings, Behav. Ecol. Sociobiol. , vol. 31, no. 6, pp. 375–383.
  20. Passino K. M. and Seeley T. D. 2006 Modeling and analysis of nest-site selection by honeybee swarms: the speed and accuracy trade-off, Behav. Ecol. Sociobiol. , vol. 59, no. 3, pp. 427–442.
  21. Seeley T. D. 1994 Honey bee foragers as sensory units of their colonies, Behav. Ecol. Sociobiol. , vol. 34, no. 1, pp. 51–62.
  22. Okada R. , Ikeno H. , Kimura T, Ohashi M, Aonuma H and Ito E. Error in the Honeybee Waggle Dance Improves Foraging Flexibility, SCIENTIFIC REPORTS | 4 : 4175
Index Terms

Computer Science
Information Sciences


Swarm Cognition Operant condition Honey Bee colonies.