View Item 

Show simple item record

A preliminary analysis of the Soar architecture as a basis for general intelligence

dc.contributor.authorRosenbloom, Paul S.en_US
dc.contributor.authorLaird, John E.en_US
dc.contributor.authorNewell, Allenen_US
dc.contributor.authorMcCarl, Roberten_US
dc.date.accessioned2006-04-10T14:53:56Z
dc.date.available2006-04-10T14:53:56Z
dc.date.issued1991-01en_US
dc.identifier.citationRosenbloom, Paul S., Laird, John E., Newell, Allen, McCarl, Robert (1991/01)."A preliminary analysis of the Soar architecture as a basis for general intelligence." Artificial Intelligence 47(1-3): 289-325. <http://hdl.handle.net/2027.42/29595>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TYF-47YRKJD-4J/2/ebf1ac6ff1ae97ff86ef7fd4303ec2e1en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/29595
dc.description.abstractIn this article we take a step towards providing an analysis of the Soar architecture as a basis for general intelligence. Included are discussions of the basic assumptions underlying the development of Soar, a description of Soar cast in terms of the theoretical idea of multiple levels of description, an example of Soar performing multi-column subtraction, and three analyses of Soar: its natural tasks, the sources of its power, and its scope and limitsen_US
dc.format.extent2318087 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA preliminary analysis of the Soar architecture as a basis for general intelligenceen_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.affiliationumDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationumDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationotherInformation Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina del Rey, CA 90292-6695, USAen_US
dc.contributor.affiliationotherDepartment of Computer Science, Carnegie-Mellon University, Pittsburgh, PA 15213, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/29595/1/0000684.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0004-3702(91)90057-Qen_US
dc.identifier.sourceArtificial Intelligenceen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
0000684.pdf
Size:
2.210MB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.