• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Intelligent Agent Technology, IEEE/WIC/ACM International Conference on >Modelling multiagent Bayesian networks with inclusion dependencies
【24h】

Modelling multiagent Bayesian networks with inclusion dependencies

机译：具有包含依赖关系的多主体贝叶斯网络建模

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

摘要

Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution is defined by the conditional probability tables (CPTs) supplied by the individual agents. It is assumed, however, that CPTs supplied by individual agents agree on the variable domains, an assumption that does not necessarily hold in practice. In this paper, we suggest modelling MABNs with inclusion dependencies. Our approach is more flexible, and perhaps realistic, by allowing CPTs supplied by different agents to disagree on variable domains. Our main result is that the input CPTs define a joint probability distribution if and only if certain inclusion dependencies are satisfied. Other advantages, both practical and theoretical, of modelling MABNs with inclusion dependencies are discussed.
机译：多主体贝叶斯网络（MABN）是一个强大的新框架，用于分布式环境中的不确定性管理。在MABN中，集体联合概率分布由各个代理提供的条件概率表（CPT）定义。但是，假设各个代理商提供的CPT在可变域上是一致的，这一假设在实践中不一定成立。在本文中，我们建议对包含包含项的MABN进行建模。通过允许不同代理提供的CPT在可变域上存在分歧，我们的方法更加灵活，甚至更现实。我们的主要结果是，当且仅当满足某些包含依赖性时，输入CPT才定义联合概率分布。讨论了具有包含依赖项的MABN建模的其他实用和理论优势。

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