Hierarchy in Knowledge Representations

dc.contributor.author	Doyle, Jon
dc.date.accessioned	2008-08-26T16:02:26Z
dc.date.available	2008-08-26T16:02:26Z
dc.date.issued	1977-11
dc.identifier.uri	http://hdl.handle.net/1721.1/41988
dc.description	This research was conducted at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the Laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency of the Department of Defense under Office of Naval Research contract number N00014-75-C-0643.	en
dc.description.abstract	This paper discusses a number of problems faced in communicating expertise and common sense to a computer, and the approaches taken by several current knowledge representation languages towards solving these problems. The main topic discussed is hierarchy. The importance of hierarchy is almost universally recognized. Hierarchy forms the backbone of many existing representation languages. We discuss several technical problems raised in constructing hierarchical and almost hierarchical systems as criteria and open problems.	en
dc.description.sponsorship	MIT Artificial Intelligence Laboratory Department of Defense Advanced Research Projects Agency	en
dc.language.iso	en_US	en
dc.publisher	MIT Artificial Intelligence Laboratory	en
dc.relation.ispartofseries	MIT Artificial Intelligence Laboratory Working Papers, WP-159;
dc.title	Hierarchy in Knowledge Representations	en
dc.type	Working Paper	en