]> 2012-02-10T06:19:02-05:00 Explaining problem solver answers Knowledge based systems (KBSs) should explain their answers if their usersare expected to understand and thus trust the answers. Problem solvers,KBSs implementing problem solving methods (PSMs), should also explaintheir answers. Few KBS systems, however, are effective at explaining theiranswers either because they cannot systematically generate explanationsor, when they can, their explanation components cannot easily be extendedto new kinds of tasks. In this paper we present an approach enablingproblem solvers to explain their answers in a systematic way. To generateproofs for their answers, the approach relies on the fact that problemsolvers can retrieve and reuse their PSMs. To generate explanationsautomatically the approach relies on the Inference Web infrastructure.The approach is implemented for a deployed problem solver tool usingexplanations to train police teams to perform resource allocation forpublic safety. techreport KSL-05-02 KSL-05-02 Explaining Problem Solver Answers KSL-05-02 2005 Year Tr id Title Computer science Tag Media:KSL-05-02.pdf Paper Number Key Knowledge Systems, AI Laboratory, Stanford University Institution Bibtype Deborah L. McGuinness Paulo Pinheiro da Silva Vasco Furtado Vladia Pinheiro Author Stanford, CA, USA Address Abstract KSL Technical Report Publication Technical Report