首页> 外文会议>International Conference on Case-Based Reasoning >Supporting Conversation Variability in COBBER Using Causal Loops
【24h】

Supporting Conversation Variability in COBBER Using Causal Loops

机译:使用因果环支持Cobber的对话变异性

获取原文

摘要

Conversational Case Based Reasoning (CCBR) is a form of CBR where users initiate conversations with the system to solve a certain problem. Current CCBR solutions are limited to specific domains. In the solutions we find a lack of flexibility to deal with the user's variability: different conversation strategies depending on the user's current mood, computer skills, and domain expertise. We focus our framework, COBBER, in the user's variability during a computer session. COBBER is a CCBR framework to build CCBR applications in a systematic way. The framework offers, independently to the domain, models of different conversation strategies using causal loops.
机译:基于对话的情况推理(CCBR)是一种CBR的形式,其中用户启动与系统的对话以解决某些问题。目前的CCBR解决方案仅限于特定结构域。在解决方案中,我们发现对用户的可变性缺乏灵活性:根据用户当前的情绪,计算机技能和域专业知识,不同的对话策略。我们在计算机会话期间,在用户的可变性中,我们将我们的框架集中在用户的变化中。 COBBER是一个以系统方式构建CCBR应用程序的CCBR框架。框架独立于域名提供不同的对话策略的模型,使用因果环。

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