Plan for explaining task execution in calo
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Reference:
- 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.
download:
- paper: KSL-05-11.pdf
- slides:
| 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 +, and Michael Wolverton + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory, Stanford University + |
| Key | KSL-05-11 + |
| 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 + |

