Foraging multi-agent system simulation based on attachment theory

Carlos Alberto Riveros Varela; Ferney Beltrán Velandia; Miguel Alberto Melgarejo Rey; Nadya González Romero; Nelson Obregón Neira

doi:10.1007/978-3-319-10759-2_36

Foraging multi-agent system simulation based on attachment theory

Carlos Alberto Riveros Varela, Ferney Beltrán Velandia, Miguel Alberto Melgarejo Rey, Nadya González Romero, Nelson Obregón Neira

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

A multi-agent system is developed to simulate the emergency of collective behavioral patterns in a foraging model based on the “Ant Foraging Model” made in NetLogo®. Two kind of agents are implemented, secure and selfish, and they are modeled considering the attachment theory, which describes the dynamics of long-term relationships between humans and establishes specific behavioral patterns. 100 simulations are developed varying the amount of selfish and secure agents, the results show that secure agents are more collaborative than selfish ones and the steps of simulation substantially decrease when secure agents are most than selfish agents.

Idioma original	Inglés
Título de la publicación alojada	ISCS 2014
Subtítulo de la publicación alojada	Interdisciplinary Symposium on Complex Systems
Páginas	359-364
Número de páginas	6
Volumen	14
ISBN (versión digital)	978-3-319-10759-2
DOI	https://doi.org/10.1007/978-3-319-10759-2_36
Estado	Publicada - 2015

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10.1007/978-3-319-10759-2_36

https://link.springer.com/chapter/10.1007/978-3-319-10759-2_36

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@inproceedings{f102612c9b204675ad1a62925794e3ac,

title = "Foraging multi-agent system simulation based on attachment theory",

abstract = "A multi-agent system is developed to simulate the emergency of collective behavioral patterns in a foraging model based on the “Ant Foraging Model” made in NetLogo{\textregistered}. Two kind of agents are implemented, secure and selfish, and they are modeled considering the attachment theory, which describes the dynamics of long-term relationships between humans and establishes specific behavioral patterns. 100 simulations are developed varying the amount of selfish and secure agents, the results show that secure agents are more collaborative than selfish ones and the steps of simulation substantially decrease when secure agents are most than selfish agents.",

keywords = "Multi-Agent System, Attachment Theory, Foraging Model, Human Behavioral Patterns",

author = "Varela, {Carlos Alberto Riveros} and Velandia, {Ferney Beltr{\'a}n} and Rey, {Miguel Alberto Melgarejo} and Romero, {Nadya Gonz{\'a}lez} and Neira, {Nelson Obreg{\'o}n}",

year = "2015",

doi = "10.1007/978-3-319-10759-2_36",

language = "English",

isbn = "978-3-319-10758-5",

volume = "14",

pages = "359--364",

booktitle = "ISCS 2014",

}

TY - GEN

T1 - Foraging multi-agent system simulation based on attachment theory

AU - Varela, Carlos Alberto Riveros

AU - Velandia, Ferney Beltrán

AU - Rey, Miguel Alberto Melgarejo

AU - Romero, Nadya González

AU - Neira, Nelson Obregón

PY - 2015

Y1 - 2015

N2 - A multi-agent system is developed to simulate the emergency of collective behavioral patterns in a foraging model based on the “Ant Foraging Model” made in NetLogo®. Two kind of agents are implemented, secure and selfish, and they are modeled considering the attachment theory, which describes the dynamics of long-term relationships between humans and establishes specific behavioral patterns. 100 simulations are developed varying the amount of selfish and secure agents, the results show that secure agents are more collaborative than selfish ones and the steps of simulation substantially decrease when secure agents are most than selfish agents.

AB - A multi-agent system is developed to simulate the emergency of collective behavioral patterns in a foraging model based on the “Ant Foraging Model” made in NetLogo®. Two kind of agents are implemented, secure and selfish, and they are modeled considering the attachment theory, which describes the dynamics of long-term relationships between humans and establishes specific behavioral patterns. 100 simulations are developed varying the amount of selfish and secure agents, the results show that secure agents are more collaborative than selfish ones and the steps of simulation substantially decrease when secure agents are most than selfish agents.

KW - Multi-Agent System

KW - Attachment Theory

KW - Foraging Model

KW - Human Behavioral Patterns

U2 - 10.1007/978-3-319-10759-2_36

DO - 10.1007/978-3-319-10759-2_36

M3 - Conference contribution

SN - 978-3-319-10758-5

VL - 14

SP - 359

EP - 364

BT - ISCS 2014

ER -

Foraging multi-agent system simulation based on attachment theory

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