TY - JOUR
T1 - GRAPHICAL DEEP KNOWLEDGE FOR INTELLIGENT MACHINE DRAFTING
AU - Geller, James
AU - Shapiro, Stuart C.
N1 - Funding Information:
* This work was supported in part by the Air Force Systems Command, Rome Air Development Center, Griffias Air Force Base, New York 13441 5700, and the Air Force Office of Scientific Research, Boiling AFB DC 20332 under Contract No. F30602-85-C-0008, which supports the Northeast Artificial Intelligence Consortium (NAIC).
Publisher Copyright:
© 1987 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 1987
Y1 - 1987
N2 - The problem of Intelligent Machine Drafting is presented, and a description of an existing implementation as part of a graphical generator function is given. The concept of Graphical Deep Knowledge is defined as a representational basis for Intelligent Machine Drafting problems as well as for physical object displays. A (partial) task domain analysis for Graphical Deep Knowledge is presented. Primitives that are necessary to deal with a world of 2-D forms and colors are introduced. Among them are primitives for describing forms, positions, parts, attributes, sub-assemblies, and an abstraction hierarchy. The use of the "linearity principle" for knowledge structure derivation from natural language utterances is shown.
AB - The problem of Intelligent Machine Drafting is presented, and a description of an existing implementation as part of a graphical generator function is given. The concept of Graphical Deep Knowledge is defined as a representational basis for Intelligent Machine Drafting problems as well as for physical object displays. A (partial) task domain analysis for Graphical Deep Knowledge is presented. Primitives that are necessary to deal with a world of 2-D forms and colors are introduced. Among them are primitives for describing forms, positions, parts, attributes, sub-assemblies, and an abstraction hierarchy. The use of the "linearity principle" for knowledge structure derivation from natural language utterances is shown.
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M3 - Conference article
AN - SCOPUS:84936117049
SN - 1045-0823
VL - 1
SP - 545
EP - 551
JO - IJCAI International Joint Conference on Artificial Intelligence
JF - IJCAI International Joint Conference on Artificial Intelligence
T2 - 10th International Joint Conference on Artificial Intelligence, IJCAI 1987
Y2 - 23 August 1987 through 28 August 1987
ER -