Title:
Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-word problem solving task
Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-word problem solving task
| dc.contributor.author | Ram, Ashwin | en_US |
| dc.contributor.author | Narayanan, Sundaram | |
| dc.contributor.author | Cox, Michael Thomas | |
| dc.date.accessioned | 2005-06-17T18:05:20Z | |
| dc.date.available | 2005-06-17T18:05:20Z | |
| dc.date.issued | 1993 | en_US |
| dc.description.abstract | This article presents a computational model of the learning of diagnostic knowledge based on observations of human operators engaged in a real-world troubleshooting task. We present a model of problem solving and learning in which the reasoner introspects about its own performance on the problem solving task, identifies what it needs to learn to improve its performance, formulates learning goals to acquire the required knowledge, and pursues its learning goals using multiple learning strategies. The model is implemented in a computer system which provides a case study based on observations of troubleshooting operators and protocol analysis of the data gathered in the test area of an operational electronics manufacturing plant. The model is intended as a computational model of human learning; in addition, it is computationally justified as a uniform, extensible framework for multi-strategy learning. | en_US |
| dc.format.extent | 286978 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/6788 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.relation.ispartofseries | CC Technical Report; GIT-CC-93-67 | en_US |
| dc.subject | Computational models of human learning | |
| dc.subject | Computational models | |
| dc.subject | Diagnostic knowledge | |
| dc.subject | Multi-strategy learning | |
| dc.subject | Observation | |
| dc.subject | Problem solving | |
| dc.subject | Troubleshooting | |
| dc.title | Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-word problem solving task | en_US |
| dc.type | Text | |
| dc.type.genre | Technical Report | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | College of Computing | |
| local.relation.ispartofseries | College of Computing Technical Report Series | |
| relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
| relation.isSeriesOfPublication | 35c9e8fc-dd67-4201-b1d5-016381ef65b8 |
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