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dc.contributor.authorDunlavey, Michael R.
dc.date.accessioned2008-04-10T13:00:56Z
dc.date.available2008-04-10T13:00:56Z
dc.date.issued1974-03
dc.identifier.urihttp://hdl.handle.net/1721.1/41097
dc.descriptionWork reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70-A-0362-0005.en
dc.description.abstractThis concentrates on interactions between knowledge stated in diverse representations. It proposes a vision program that classifies any complicated object as an elaborated instance of a simple on it already understands. The resulting global-local connections facilitate evaluation of overall properties, such as visual shape and ability to support other objects. Flexibility is achieved through simultaneous use of multiple equivalent representations. These are coordinated via interfacing rules for giving hints, constraining choices, and filling in missing detail, making use of the great redundancy in most visual scenes. An important feature of the system consists of domain-dependent rules for guiding the flow of control and choosing hypothesis.en
dc.description.sponsorshipMIT Artificial Intelligence Laboratoryen
dc.language.isoen_USen
dc.publisherMIT Artificial Intelligence Laboratoryen
dc.relation.ispartofseriesMIT Artificial Intelligence Laboratory Working Papers, WP-62en
dc.titleKnowledge About Interfacing Descriptionsen
dc.typeWorking Paperen


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