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Plan for explaining task execution in calo
Abstract 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.
Author Deborah L. McGuinness +, Paulo Pinheiro da Silva +, Michael Wolverton +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory, Stanford University +
Key KSL-05-11  +
Modification dateThis property is a special property in this wiki. 1 May 2009 13:35:38  +
Number KSL-05-11  +
Paper KSL-05-11.pdf +
Tag Computer science +
Title Plan for Explaining Task Execution in CALO  +
Tr id KSL-05-11  +
Year 2005  +
Categories Technical Report, Publication, KSL Technical Report
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