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arXiv 1104.3152cs.AInlin.AOq-bio.PE
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人工蚂蚁群体中的多聚性

Polyethism in a colony of artificial ants

IIMAS, Universidad Nacional Autónoma de México(墨西哥国立自治大学应用数学与系统研究所)

Chris Marriott, Carlos Gershenson

摘要:

我们探讨了自组织策略的角色分配在觅食任务进行了人工智能体的殖民地。我们的策略受到了在真社会性昆虫(如蚂蚁、白蚁或蜜蜂)中观察到的各种劳动分工机制(多种族主义)的启发。具体来说,我们实例化的种姓多民族和年龄或时间多民族的模型,以评估在动态环境中觅食的好处。我们的实验与机器学习中的探索/开发贸易直接相关。

英文摘要:

We explore self-organizing strategies for role assignment in a foraging task carried out by a colony of artificial agents. Our strategies are inspired by various mechanisms of division of labor (polyethism) observed in eusocial insects like ants, termites, or bees. Specifically we instantiate models of caste polyethism and age or temporal polyethism to evaluated the benefits to foraging in a dynamic environment. Our experiment is directly related to the exploration/exploitation trade of in machine learning.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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