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Conversational case-based reasoning

delete2001-01-01
delete122
PRE
AI
A
Aha, DW
B
Breslow, LA
M
Muñoz-Avila, H
DOI：10.1023/A:1008346807097delete
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Abstract

Abstract

En 中文
Conversational case-based reasoning (CCBR) was the first widespread commercially successful form of case-based reasoning. Historically, commercial CCBR tools conducted constrained human-user dialogues and targeted customer support tasks. Due to their simple implementation of CBR technology, these tools were almost ignored by the research community (until recently), even though their use introduced many interesting applied research issues. We detail our progress on addressing three of these issues: simplifying case authoring, dialogue inferencing, and interactive planning. We describe evaluations of our approaches on these issues in the context of NaCoDAE and HICAP, our CCBR tools. In summary, we highlight important CCBR problems, evaluate approaches for solving them, and suggest alternatives to be considered for future research.
Keywords:
conversational case-based reasoning
case library revision
dialogue inferencing
plan authoring
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Applied Intelligence cover
Applied Intelligence
IF:
3.5
Papers:
7.6K
Citations:
1.7W

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