Will It Reach the Top? Prediction in the Mechanics World.
dc.contributor.author
Bundy, Alan
en
dc.date.accessioned
2011-01-05T15:14:40Z
dc.date.available
2011-01-05T15:14:40Z
dc.date.issued
1978-04
dc.date.updated
2011-01-05T15:14:41Z
dc.description.abstract
We describe an extension of a mechanics problem solving program to the set of “roller coaster” problems, i.e. problems about the motion of a particle on a complex path. The reasoning strategy adopted by the program is described and compared to earlier work in this domain. Conclusions are drawn about the representation of motion and prediction. Questions are raised about Frames and Multiple Representations.
en
dc.extent.pageNumbers
129–146
en
dc.identifier.doi
10.1016/S0004-3702(78)80009-5
dc.identifier.eIssn
NA
dc.identifier.issn
0004-3702
dc.identifier.uri
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6TYF-4KCPTW6-1&_user=809099&_coverDate=04/30/1978&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000043939&_version=1&_urlVersion=0&_userid=809099&md5=3ed6e06c423c027119585191902f80be&searchtype=a
dc.identifier.uri
http://hdl.handle.net/1842/4577
dc.language.iso
en
dc.publisher
Elsevier
en
dc.title
Will It Reach the Top? Prediction in the Mechanics World.
en
dc.type
Article
en
rps.issue
2
en
rps.title
Artificial Intelligence
en
rps.volume
10
en
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