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Associating current knowledge with that of past experience based on knowledge about automata

Abstract

Important to the performance of interactive systems is the ability of its members to associate current knowledge with knowledge of past experience. Knowledge association results in greater detail of a current knowledge and is demonstrated through the use of examples. It is based on knowledge about automata and the knowledge structures are in the form of graphs. 11 references.
Authors:
Publication Date:
Jan 01, 1982
Product Type:
Journal Article
Reference Number:
EDB-85-188149
Resource Relation:
Journal Name: Kybernetes; (United Kingdom); Journal Volume: 3
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARTIFICIAL INTELLIGENCE; KNOWLEDGE BASE; GRAPHS; MATHEMATICS; REAL TIME SYSTEMS; 990200* - Mathematics & Computers
OSTI ID:
5000283
Research Organizations:
Univ. of Wisconsin, Madison
Country of Origin:
United Kingdom
Language:
English
Other Identifying Numbers:
Journal ID: CODEN: KBNTA
Submitting Site:
HEDB
Size:
Pages: 211-217
Announcement Date:
Jul 01, 1985

Citation Formats

Koenig, E C. Associating current knowledge with that of past experience based on knowledge about automata. United Kingdom: N. p., 1982. Web.
Koenig, E C. Associating current knowledge with that of past experience based on knowledge about automata. United Kingdom.
Koenig, E C. 1982. "Associating current knowledge with that of past experience based on knowledge about automata." United Kingdom.
@misc{etde_5000283,
title = {Associating current knowledge with that of past experience based on knowledge about automata}
author = {Koenig, E C}
abstractNote = {Important to the performance of interactive systems is the ability of its members to associate current knowledge with knowledge of past experience. Knowledge association results in greater detail of a current knowledge and is demonstrated through the use of examples. It is based on knowledge about automata and the knowledge structures are in the form of graphs. 11 references.}
journal = []
volume = {3}
journal type = {AC}
place = {United Kingdom}
year = {1982}
month = {Jan}
}