| Abstract
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The CALO system will include an end to end … The CALO system will include an end to end system capability that will allow CALO to provide explanations for its answers. This document focuses on explanations for task-oriented processing within the CALO system and describes a set of types of questions and answers. We include a set of general categories of task-oriented questions and answers.The questions and answers are instance of more general patterns which are also described. In order to provide concrete examples, we introduce a demo scenario concerned with laptop purchasing. Our specific example questions and answers utilize this scenario. We also include alternative answers so that we can describe a spectrum of answers and our approaches to providing these answers. We present an architecture for task-oriented explanation generation within CALO. Next we describe our strategy for interacting with the SPARK system in order to obtain the required information.Finally, we provide a view of task execution as inference. ide a view of task execution as inference.
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| Author
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Deborah L. McGuinness +,
Paulo Pinheiro da Silva +,
Michael Wolverton +
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| Bibtype
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techreport +
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| Institution
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Knowledge Systems, AI Laboratory, Stanford University +
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| Key
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KSL-05-11 +
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| Modification dateThis property is a special property in this wiki.
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1 May 2009 13:35:38 +
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| Number
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KSL-05-11 +
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| Paper
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KSL-05-11.pdf +
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| Tag
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Computer science +
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| Title
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Plan for Explaining Task Execution in CALO +
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| Tr id
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KSL-05-11 +
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| Year
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2005 +
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| Categories |
Technical Report,
Publication,
KSL Technical Report
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