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Research article summary:
An advanced artificial intelligence tool for menu design.
Abstract Extract:
The computer-assisted menu design still remains a difficult task. Usually knowledge that aids in menu design by a computer is hard-coded and because of that a computerised menu planner cannot handle the menu design problem for an unanticipated client. To ... (Full abstract text below) Published 2003
in Journal: Nutr Health
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Nutr Health.
2003 ;17(1):43-53
An advanced artificial intelligence tool for menu design.
Khan AS, Hoffmann A
Artificial Intelligence Laboratory, School of Computer Science and Engineering, The University of New South Wales, Sydney 2052, Australia. askhan@cse.unsw.edu.au
The computer-assisted menu design still remains a difficult task. Usually knowledge that aids in menu design by a computer is hard-coded and because of that a computerised menu planner cannot handle the menu design problem for an unanticipated client. To address this problem we developed a menu design tool, MIKAS (menu construction using incremental knowledge acquisition system), an artificial intelligence system that allows the incremental development of a knowledge-base for menu design. We allow an incremental knowledge acquisition process in which the expert is only required to provide hints to the system in the context of actual problem instances during menu design using menus stored in a so-called Case Base. Our system incorporates Case-Based Reasoning (CBR), an Artificial Intelligence (AI) technique developed to mimic human problem solving behaviour. Ripple Down Rules (RDR) are a proven technique for the acquisition of classification knowledge from expert directly while they are using the system, which complement CBR in a very fruitful way. This combination allows the incremental improvement of the menu design system while it is already in routine use. We believe MIKAS allows better dietary practice by leveraging a dietitian's skills and expertise. As such MIKAS has the potential to be helpful for any institution where dietary advice is practised.
PMID : 12803280 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Abdus Salam | Khan | AS |
| Achim | Hoffmann | A |
Affiliation: Artificial Intelligence Laboratory, School of Computer Science and Engineering, The University of New South Wales, Sydney 2052, Australia. askhan@cse.unsw.edu.au
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