Explaining Problem Solver Answers

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Citation: Vladia Pinheiro and Vasco Furtado and Paulo Pinheiro da Silva and Deborah L. McGuinness. (2005) Explaining Problem Solver Answers. In KSL-05-02, 2005.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Vladia Pinheiro and Vasco Furtado and Paulo Pinheiro da Silva and Deborah L. McGuinness
title Explaining Problem Solver Answers
number KSL-05-02
institution Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 2005
Bibtex more
note Technical Report
Access Paper
abstract Knowledge based systems (KBSs) should explain their answers if their users are expected to understand and thus trust the answers. Problem solvers,KBSs implementing problem solving methods (PSMs), should also explain their answers. Few KBS systems, however, are effective at explaining their answers either because they cannot systematically generate explanations or, when they can, their explanation components cannot easily be extended to new kinds of tasks. In this paper we present an approach enabling problem solvers to explain their answers in a systematic way. To generate proofs for their answers, the approach relies on the fact that problem solvers can retrieve and reuse their PSMs. To generate explanations automatically the approach relies on the Inference Web infrastructure.The approach is implemented for a deployed problem solver tool using explanations to train police teams to perform resource allocation for public safety.

KSL Technical Report ID: KSL-05-02
Facts about Explaining Problem Solver AnswersRDF feed
Abstract Knowledge based systems (KBSs) should expl … Knowledge based systems (KBSs) should explain their answers if their users are expected to understand and thus trust the answers. Problem solvers,KBSs implementing problem solving methods (PSMs), should also explain their answers. Few KBS systems, however, are effective at explaining their answers either because they cannot systematically generate explanations or, when they can, their explanation components cannot easily be extended to new kinds of tasks. In this paper we present an approach enabling problem solvers to explain their answers in a systematic way. To generate proofs for their answers, the approach relies on the fact that problem solvers can retrieve and reuse their PSMs. To generate explanations automatically the approach relies on the Inference Web infrastructure.The approach is implemented for a deployed problem solver tool using explanations to train police teams to perform resource allocation for public safety. orm resource allocation for public safety.
Address Stanford, CA, USA  +
Author Vladia Pinheiro and Vasco Furtado and Paulo Pinheiro da Silva and Deborah L. McGuinness  +
Bibtype techreport  +
Has author Vladia Pinheiro and Vasco Furtado and Paulo Pinheiro da Silva and Deborah L. McGuinness  +
Has identifier KSL-05-02  +
Has publishing details 2005  +
Has title Explaining Problem Solver Answers  +
Has where published KSL-05-02  +
Has year 2005  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-05-02  +
Note Technical Report
Number KSL-05-02  +
Process note NO  +
Title Explaining Problem Solver Answers  +
Year 2005  +
Retrieved from "http://tw.rpi.edu/wiki/Explaining_Problem_Solver_Answers"
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