Plan for explaining task execution in calo

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Reference:

  1. Deborah L. McGuinness, Paulo Pinheiro da Silva, Michael Wolverton. Plan for Explaining Task Execution in CALO , Knowledge Systems, AI Laboratory, Stanford University (KSL-05-11), 2005

bibtex


@techreport { KSL-05-11 ,
author = "Deborah L. McGuinness, Paulo Pinheiro da Silva, Michael Wolverton",
institution = "Knowledge Systems, AI Laboratory, Stanford University",
number = "KSL-05-11",
title = "Plan for Explaining Task Execution in CALO",
year = "2005",
}

abstract: 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.

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Facts about Plan for explaining task execution in caloRDF feed
AbstractThe 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.
AuthorDeborah L. McGuinness  +, Paulo Pinheiro da Silva  +, and Michael Wolverton  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory, Stanford University  +
KeyKSL-05-11  +
NumberKSL-05-11  +
PaperKSL-05-11.pdf  +
TagComputer science  +
TitlePlan for Explaining Task Execution in CALO  +
Tr idKSL-05-11  +
Year2005  +
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