Advanced Search

ARLO: Another Representation Language Offer

Research and Teaching Output of the MIT Community

Show simple item record Haase, Kenneth W., Jr. en_US 2004-10-20T20:02:41Z 2004-10-20T20:02:41Z 1986-10-01 en_US
dc.identifier.other AITR-901 en_US
dc.description.abstract This paper describes ARLO, a representation language loosely modelled after Greiner and Lenant's RLL-1. ARLO is a structure-based representation language for describing structure-based representation languages, including itself. A given representation language is specified in ARLO by a collection of structures describing how its descriptions are interpreted, defaulted, and verified. This high level description is compiles into lisp code and ARLO structures whose interpretation fulfills the specified semantics of the representation. In addition, ARLO itself- as a representation language for expressing and compiling partial and complete language specifications- is described and interpreted in the same manner as the language it describes and implements. This self-description can be extended of modified to expand or alter the expressive power of ARLO's initial configuration. Languages which describe themselves like ARLO- provide powerful mediums for systems which perform automatic self-modification, optimization, debugging, or documentation. AI systems implemented in such a self-descriptive language can reflect on their own capabilities and limitations, applying general learning and problem solving strategies to enlarge or alleviate them. en_US
dc.format.extent 95 p. en_US
dc.format.extent 13247756 bytes
dc.format.extent 4867930 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AITR-901 en_US
dc.subject knowledge representation en_US
dc.subject representation languages en_US
dc.subject smeta-representation en_US
dc.subject reflection en_US
dc.subject artificial intelligence en_US
dc.subject AIslanguages en_US
dc.subject RLL en_US
dc.title ARLO: Another Representation Language Offer en_US

Files in this item

Name Size Format Description 12.63Mb Postscript
AITR-901.pdf 4.642Mb PDF

This item appears in the following Collection(s)

Show simple item record