KSL-05-02 + redirect page
Explaining Problem Solver Answers + Has identifier
Explaining Problem Solver Answers + Ksl tr id
Explaining Problem Solver Answers + Number
| Explaining Problem Solver Answers |
Bibtype
techreport
Has publishing details
2005
Has title
Explaining Problem Solver Answers
Has where published
KSL-05-02
Has year
2005
Title
Explaining Problem Solver Answers
Year
2005
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.
Note
Technical Report
Address
Stanford, CA, USA +
Author
Vladia Pinheiro and Vasco Furtado and Paulo Pinheiro da Silva and Deborah L. McGuinness +
Has author
Vladia Pinheiro and Vasco Furtado and Paulo Pinheiro da Silva and Deborah L. McGuinness +
Has identifier
Explaining Problem Solver Answers +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Explaining Problem Solver Answers +
Number
Explaining Problem Solver Answers +
Process note
NO +
Categories KSL Technical Report +, Publication +, Technical Report +
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