Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/76429
Title: Knowledge representation using an augmented planning network: Application to an expert system for planning HPLC separations
Authors: Ananda, A.L. 
Foo, S.M.
Gunasingham, H. 
Issue Date: 1988
Citation: Ananda, A.L.,Foo, S.M.,Gunasingham, H. (1988). Knowledge representation using an augmented planning network: Application to an expert system for planning HPLC separations. Journal of Chemical Information and Computer Sciences 28 (2) : 82-86. ScholarBank@NUS Repository.
Abstract: The augmented planning network (APN), which is modeled on the augmented transition network (ATN), is proposed as a convenient structure for representing the knowledge of an expert system for planning HPLC separations. The advantage of the APN is realized in its inherent flexibility in handling preconditions, meta-knowledge (or control knowledge), and procedural inferencing. The internal structure of the APN is also presented. © 1988 American Chemical Society.
Source Title: Journal of Chemical Information and Computer Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/76429
ISSN: 00952338
Appears in Collections:Staff Publications

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