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相关论文: Polyethism in a colony of artificial ants

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The organizations of insect societies, such as division of labor, task allocation, collective regulation, mass action responses, have been considered as main reasons for the ecological success. In this article, we propose and study a…

种群与进化 · 定量生物学 2015-11-17 Yun Kang , Guy Theraulaz

Using elementary distributed computing techniques we suggest an explanation for two unexplained phenomena in regards to ant colonies, (a) a substantial amount of ants in an ant colony are idle, and (b) the observed low survivability of new…

分布式、并行与集群计算 · 计算机科学 2016-05-23 Yehuda Afek , Deborah M. Gordon , Moshe Sulamy

Collective behavior of active elements inspired by mass of biological organisms is addressed. Especially, two topics are focused on among amazing behaviors performed by colony of ants. First, task allocation phenomena are treated from the…

种群与进化 · 定量生物学 2007-05-23 T. Mizuguchi , K. Sugawara , H. Nishimori , T. Tao , T. Kazama , H. Nakagawa , Y. Hayakawa , M. Sano

Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organization. As a result of this organization, ant colonies can…

人工智能 · 计算机科学 2007-05-23 Vitorino Ramos , Juan J. Merelo

We investigate the effects of social interactions in task al- location using Evolutionary Game Theory (EGT). We propose a simple task-allocation game and study how different learning mechanisms can give rise to specialised and non-…

种群与进化 · 定量生物学 2017-02-21 Rui Chen , Garcia Julian , Meyer Bernd

There is great potential if we understand how nature functions, particularly the animals taking down from the ant to the larger animals. In this paper we will make an attempt to learn about ants colonization processing by studying their…

系统与控制 · 电气工程与系统科学 2023-05-09 Sunit Shantanu Digamber Fulari

Artificial ecosystems provide an additional experimental tool to support laboratory work, field work, and theoretical development in competitive exclusion research. A novel application of a spatiotemporal agent based model is presented…

种群与进化 · 定量生物学 2023-06-01 John C. Stevenson

The relationship between division of labor and individuals' spatial behavior in social insect colonies provides a useful context to study how social interactions influence the spreading of agent (which could be information or virus) across…

种群与进化 · 定量生物学 2020-03-31 Xisohui Guo , Jun Chen , Asma Azizi , Jennifer Fewell , Yun Kang

Social insects in nature such as ants, termites and bees construct their colonies collaboratively in a very efficient process. In these swarms, each insect contributes to the construction task individually showing redundant and parallel…

机器人学 · 计算机科学 2021-06-21 Teshan Liyanage , Subha Fernando

Artificial life models, swarm intelligent and evolutionary computation algorithms are usually built on fixed size populations. Some studies indicate however that varying the population size can increase the adaptability of these systems and…

多智能体系统 · 计算机科学 2007-05-23 Carlos Fernandes , Vitorino Ramos , Agostinho C. Rosa

Colonies of ants are systems of interacting living organisms in which interactions between individuals and their environment can produce a reliable performance of a complex tasks without the need for centralised control. Particularly…

生物物理 · 物理学 2015-08-28 Miriam Malíčková , Christian Yates , Katarína Boďová

We introduce a simulation environment to facilitate research into emergent collective behaviour, with a focus on replicating the dynamics of ant colonies. By leveraging real-world data, the environment simulates a target ant trail that a…

多智能体系统 · 计算机科学 2024-10-22 Michael Crosscombe , Ilya Horiguchi , Norihiro Maruyama , Shigeto Dobata , Takashi Ikegami

Colonies of ants can collectively choose the best of several nests, even when many of the active ants who organize the move visit only one site. Understanding such a behavior can help us design efficient distributed decision making…

分布式、并行与集群计算 · 计算机科学 2014-08-21 Mahnush Movahedi , Mahdi Zamani

Some recent studies have pointed that, the self-organization of neurons into brain-like structures, and the self-organization of ants into a swarm are similar in many respects. If possible to implement, these features could lead to…

人工智能 · 计算机科学 2007-05-23 Vitorino Ramos , Filipe Almeida

A population of heterogenous agents compeeting through a minority rule is investigated. Agents which frequently loose are selected for evolution by changing their strategies. The stationary composition of the population resulting for this…

无序系统与神经网络 · 物理学 2009-10-31 Alexei Vazquez

Flocks of birds and schools of fish are familiar examples of spatial patterns formed by living organisms. In contrast to the patterns on the skins of, say, zebra and giraffe, the patterns of our interest are {\it transient} although…

种群与进化 · 定量生物学 2007-05-23 Debashish Chowdhury , Katsuhiro Nishinari , Andreas Schadschneider

In this study, we synthesize a novel dynamical approach for ant colonies enabling them to migrate to new nest sites in a self-organizing fashion. In other words, we realize ant colony migration as a self-organizing phenotype-level…

机器人学 · 计算机科学 2022-10-11 Matin Macktoobian

Wasps, bees, ants and termites all make effective use of their environment and resources by displaying collective swarm intelligence. Termite colonies - for instance - build nests with a complexity far beyond the comprehension of the…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Vitorino Ramos , Carlos Fernandes , Agostinho C. Rosa

Most of the grand challenges of humanity today involve complex agent-based systems, such as epidemiology, economics or ecology. However, remains as a pending task the challenge of identifying the general principles underlying their…

综合金融 · 定量金融 2020-10-19 Martin Jaraiz

Army ants perform the altruism that an ant sacrifices its own well-being for the benefit of another ants. Army ants build bridges using their own bodies along the path from a food to the nest. We developed the army ant inspired social…

多智能体系统 · 计算机科学 2018-07-12 Takumi Ichimura , Takuya Uemoto , Akira Hara
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