• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Joint Conference on Artificial Intelligence >Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information
【24h】

Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information

机译：最大化关于无家可归青年社会网络的艾滋病毒的认识，信息有限

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents HEALER, a software agent that recommends sequential intervention plans for use by homeless shelters, who organize these interventions to raise awareness about HIV among homeless youth. HEALER's sequential plans (built using knowledge of social networks of homeless youth) choose intervention participants strategically to maximize influence spread, while reasoning about uncertainties in the network. While previous work presents influence maximizing techniques to choose intervention participants, they do not address two real-world issues: (i) they completely fail to scale up to real-world sizes; and (ii) they do not handle deviations in execution of intervention plans. HEALER handles these issues via two major contributions: (i) HEALER casts this influence maximization problem as a POMDP and solves it using a novel planner which scales up to previously unsolvable real-world sizes; and (ii) HEALER allows shelter officials to modify its recommendations, and updates its future plans in a deviationtolerant manner. HEALER was deployed in the real world in Spring 2016 with considerable success.
机译：本文介绍了治疗师，该软件代理商推荐由无家可归者庇护所使用的顺序干预计划，他们组织这些干预措施，以提高无家可归青年之间对艾滋病毒的认识。治疗师的顺序计划（利用无家可归者青年的社交网络的知识建造）选择干预参与者战略性地，以最大化影响扩散，同时推理网络中的不确定性。虽然以前的工作提出了影响介入参与者的最大化技术，但他们没有解决两个现实世界问题：（i）他们完全没有扩大到现实世界规模; （ii）他们在执行干预计划的情况下不处理偏差。治疗师通过两项主要贡献处理这些问题：（i）治疗师将这种影响成为POMDP的最大化问题，并使用小型计划者解决了它，该小型计划缩放到以前无法解决的现实世界尺寸; （ii）治疗师允许住房官员修改其建议，并以偏差的方式更新其未来计划。 2016年春季，治疗师部署在现实世界中，成功相当大。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号