Abstract | ||
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Abduction, or inference to the best explanation, has been used in artificial intelligence as a framework for solving problems ranging from diagnosis, to test interpretation, to theory formation, to natural language understanding, to perception. Previous research on computational models of abduction has suggested that a single generic strategy may be used to perform abductions in a variety of domains and across very diverse problems. This paper describes a generic strategy for abduction and a tool, Peirce, for constructing abductive problem solving systems |
Year | DOI | Venue |
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1994 | 10.1109/TAI.1994.346441 | New Orleans, LA |
Keywords | DocType | ISSN |
explanation,inference mechanisms,problem solving,uncertainty handling,Peirce,abduction,abductive inference tool,abductive problem solving systems,artificial intelligence,best explanation,computational models,diagnosis,generic strategy,inference,natural language understanding,perception,problem solving,single generic strategy,test interpretation,theory formation | Conference | 1082-3409 |
Citations | PageRank | References |
2 | 0.49 | 1 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Richard Fox | 1 | 2 | 0.49 |
John R. Josephson | 2 | 1003 | 119.16 |