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DENDRAL: A case study of the first expert system for scientific hypothesis formation
dc.contributor.authorLindsay, Robert K.en_US
dc.contributor.authorBuchanan, Bruce G.en_US
dc.contributor.authorFeigenbaum, Edward A.en_US
dc.contributor.authorLederberg, Joshuaen_US
dc.date.accessioned2006-04-10T15:43:44Z
dc.date.available2006-04-10T15:43:44Z
dc.date.issued1993-06en_US
dc.identifier.citationLindsay, Robert K., Buchanan, Bruce G., Feigenbaum, Edward A., Lederberg, Joshua (1993/06)."DENDRAL: A case study of the first expert system for scientific hypothesis formation." Artificial Intelligence 61(2): 209-261. <http://hdl.handle.net/2027.42/30758>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TYF-47YRKW2-8H/2/032708ce16a55f95d3c5021cb915cb21en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30758
dc.description.abstractThe DENDRAL Project was one of the first large-scale programs to embody the strategy of using detailed, task-specific knowledge about a problem domain as a source of heuristics, and to seek generality through automating the acquisition of such knowledge. This paper summarizes the major conceptual contributions and accomplishments of that project. It is an attempt to distill from this research the lessons that are of importance to artificial intelligence research and to provide a record of the final status of two decades of work.en_US
dc.format.extent3212733 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleDENDRAL: A case study of the first expert system for scientific hypothesis formationen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationotherComputer Science Department, University of Pittsburgh, Pittsburgh, PA 15260, USAen_US
dc.contributor.affiliationotherKnowledge Systems Laboratory, Department of Computer Science, Stanford University, Stanford, CA 94305, USAen_US
dc.contributor.affiliationotherRockefeller University, New York, NY 10021-6399, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30758/1/0000409.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0004-3702(93)90068-Men_US
dc.identifier.sourceArtificial Intelligenceen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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