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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
10.5120/18218-9248

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 = { https://ijcaonline.org/archives/volume104/number7/18218-9248/ },
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
Abstract

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.

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Index Terms

Computer Science
Information Sciences

Keywords

Swarm Cognition Operant condition Honey Bee colonies.