Title :
An intelligent assistant design system based on CBR and MAS
Author :
Li, Fang ; Chen, Nan
Author_Institution :
Sch. of Mech. Eng., Southeast Univ., Nanjing, China
Abstract :
This paper establishes a framework of Multi-Agent System (MAS)-based collaborative assistant design system which is applied to the Machining Center (MC), provides an expanded Object-Oriented Knowledge Representation (OOKR) for the cases storage, presents an effective reasoning algorithm for the chosen of appreciate production type according to the customization, and illustrates a prototype case study to show the practicability of this system. Using this platform, a product model which has the greatest similarity with the customer order information can be proposed by encapsulated CBR intelligent searching strategy as quickly as possible. It can provide a stabile foundation for shorten the design cycle of new product development and improve a company´s competitive ability in the dog-eat-dog market.
Keywords :
case-based reasoning; groupware; intelligent design assistants; knowledge representation; object-oriented methods; query formulation; CBR intelligent searching strategy; MAS; customer order information; dog-eat-dog market; intelligent assistant design system; machining center; multi-agent system; object-oriented knowledge representation; product development; reasoning algorithm; Algorithm design and analysis; Collaboration; Intelligent systems; Knowledge representation; Milling machines; Multiagent systems; Object oriented modeling; Product development; Production systems; Prototypes; CBR; MAS; OOKR; intelligent; knowledge representation; reasoning;
Conference_Titel :
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5266-8
Electronic_ISBN :
978-1-4244-5268-2
DOI :
10.1109/CAIDCD.2009.5375257