Deja-Vu -- A mechanism for constructing dialogue memory for resource-bounded agents

Deja-Vu——一种为资源有限的智能体构建对话记忆的机制

• 批准号: LP0347470
• 负责人: Prof Ingrid Zukerman
• 金额: $ 13.61万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-09-08 至 2006-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0347470
• 关键词: Deja; Vu; mechanism; constructing; dialogue

The ability to provide contextual information during interactions with computer systems has great potential to improve the overall experience for users. We propose to develop such an ability in the form of an automatically generated, continuously updated ``dialogue memory'', which may reside at server sites or in the PDAs of individual users. This memory will be generated by means of a novel approach which combines Natural Language techniques to extract dialogue features, model-selection techniques to cluster related dialogues, and cognitive modeling techniques to prune the resultant memories. The implemented computer system will be tested in the domain of trouble-shooting dialogues.

在与计算机系统交互期间提供上下文信息的能力具有改善用户的整体体验的巨大潜力。我们建议以自动生成、不断更新的"对话存储器“的形式开发这种能力，这种存储器可以驻留在服务器站点或个人用户的PDA中。这种记忆将通过一种新的方法来产生，该方法结合了自然语言技术来提取对话特征，模型选择技术来聚类相关对话，以及认知建模技术来修剪所产生的记忆。实现的计算机系统将在故障排除对话领域进行测试。