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.
%0 Book Section
%1 AhaBreslowMunoz-Avila00
%A Aha, David W.\
%A Breslow, Leonard A.\
%A Muñoz-Avila, Héctor
%B Applied Intelligence
%C Boston
%D 2000
%I Kluwer Academic Publishers
%K Case-Based Reasoning Conversational
%P 1--25
%T Conversational Case-Based Reasoning
%X 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.
@incollection{AhaBreslowMunoz-Avila00,
abstract = {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.},
added-at = {2006-11-14T09:19:23.000+0100},
address = {Boston},
author = {Aha, David W.\ and Breslow, Leonard A.\ and Mu{\~n}oz-Avila, H{\'e}ctor},
biburl = {https://www.bibsonomy.org/bibtex/2268acf886a33bea0611aa43bcf1b1f86/thorob67},
booktitle = {Applied Intelligence},
interhash = {f8cd1422f526a56bbbd963600182065e},
intrahash = {268acf886a33bea0611aa43bcf1b1f86},
keywords = {Case-Based Reasoning Conversational},
pages = {1--25},
publisher = {Kluwer Academic Publishers},
timestamp = {2006-11-14T09:19:23.000+0100},
title = {Conversational Case-Based Reasoning},
year = 2000
}