群居哺乳动物觅食动态建模的准粒子群算法

Marco Campennì, F. Cecconi
{"title":"群居哺乳动物觅食动态建模的准粒子群算法","authors":"Marco Campennì, F. Cecconi","doi":"10.4018/jats.2011010103","DOIUrl":null,"url":null,"abstract":"In this paper, the authors present a computational model of a fundamental social phenomenon in the study of animal behavior: the foraging. The purpose of this work is, first, to test the validity of the proposed model compared to another existing model, the flocking model; then, to try to understand whether the model may provide useful suggestions in studying the size of the group in some species of social mammals.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"44 1","pages":"27-38"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Quasi-PSO Algorithm for Modeling Foraging Dynamics in Social Mammals\",\"authors\":\"Marco Campennì, F. Cecconi\",\"doi\":\"10.4018/jats.2011010103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the authors present a computational model of a fundamental social phenomenon in the study of animal behavior: the foraging. The purpose of this work is, first, to test the validity of the proposed model compared to another existing model, the flocking model; then, to try to understand whether the model may provide useful suggestions in studying the size of the group in some species of social mammals.\",\"PeriodicalId\":93648,\"journal\":{\"name\":\"International journal of agent technologies and systems\",\"volume\":\"44 1\",\"pages\":\"27-38\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of agent technologies and systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/jats.2011010103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of agent technologies and systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/jats.2011010103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

在本文中,作者提出了动物行为研究中一个基本社会现象的计算模型:觅食。本研究的目的是:首先,对比另一个已有的模型——群集模型,检验本文提出的模型的有效性;然后,试图了解该模型是否可以为研究某些社会哺乳动物物种的群体规模提供有用的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Quasi-PSO Algorithm for Modeling Foraging Dynamics in Social Mammals
In this paper, the authors present a computational model of a fundamental social phenomenon in the study of animal behavior: the foraging. The purpose of this work is, first, to test the validity of the proposed model compared to another existing model, the flocking model; then, to try to understand whether the model may provide useful suggestions in studying the size of the group in some species of social mammals.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Novel Formal Agent-Based Simulation Modeling Framework of an AIDS Complex Adaptive System Artificial Minds with Consciousness and Common sense Aspects Cooperative Multi-Agent Joint Action Learning Algorithm (CMJAL) for Decision Making in Retail Shop Application Adaptive Congestion Controlled Multipath Routing in VANET: A Multiagent Based Approach The Meaningfulness of Statistical Significance Tests in the Analysis of Simulation Results
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1