Proceedings ArticleDOI
Use of case-based reasoning techniques for intelligent computer-aided-design systems
B. Trousse,W. Visser +1 more
- Vol. 3, pp 513-518
TLDR
This paper will present the main systems using case-based reasoning for design activities followed by a comparative analysis between these systems, and indicate the main directions in CBR for design and will propose to adopt a cognitive approach from knowledge acquisition until the development of real design support systems.Abstract:
Reuse of designs is an important research direction for the future intelligent CAD systems. The main applications of such a research are various, from mechanical systems design (spacecraft, robot, ...) to software design. This paper will present a survey of the use of case-based reasoning (CBR) techniques for intelligent CAD systems in order to reuse designs or parts of designs. First, we will briefly resume some work issued from cognitive psychology, showing the importance of analogical-reasoning for design activities and then the origins of the CBR technology in AI. Second, we will then present the main systems using case-based reasoning for design activities followed by a comparative analysis between these systems. To conclude, we will indicate the main directions in CBR for design and will propose to adopt a cognitive approach from knowledge acquisition until the development of real design support systems. >read more
Citations
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Journal ArticleDOI
Use of episodic knowledge and information in design problem solving
TL;DR: The study examined resulted in the realization that the use of other types of ‘episodic’ data, especially episodic knowledge, also plays an important role in this activity of reuse of problem-solving elements in design.
Journal ArticleDOI
A fuzzy CBR technique for generating product ideas
TL;DR: Experiments indicate that the retrieving-and-filtering mechanism outperforms the prior retrieving-only mechanism in terms of generating a higher ratio of valuable product ideas.
Journal ArticleDOI
Satisficing in engineering design: causes, consequences and implications for design support
TL;DR: In this article, the authors describe an approach to investigate design cognition which involved comparing prescriptive theories of good design practice with observations of actual design behaviour, and explore the implications of minimal solution search for design support, with particular reference to an agent-based indexing system which is developed in order to facilitate the pursuit of design alternatives in engineering contexts.
Journal ArticleDOI
A case-based reasoning approach to generating new product ideas
TL;DR: Experiments show that the proposed approach outperforms the brainstorming technique, which has been widely used in industry, in the generation of new product ideas.
Proceedings Article
Reuse of designs: Desperately seeking an interdisciplinary cognitive approach
TL;DR: Not much attention is paid to the user, and few papers have indeed adopted an interdisciplinary cognitive approach, and the conclusion points out some lacking points.
References
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Book
Case-based reasoning
TL;DR: Case-based reasoning as discussed by the authors is one of the fastest growing areas in the field of knowledge-based systems and the first comprehensive text on the subject is presented by a leader in this field.
Book
The knowledge level
TL;DR: A theory of the nature of knowledge is proposed, namely, that there is another computer system level immediately above the symbol (or program) level and knowledge itself is the processing medium at this level and the principle of rationality plays a central role.
Journal ArticleDOI
The knowledge level
TL;DR: In this article, a theory of the nature of knowledge and representation is proposed, namely that there is another computer system level immediately above the symbol (or program) level, and the principle of rationality plays a central role.
Book
Inside Case-Based Reasoning
TL;DR: CBR tends to be a good approach for rich, complex domains in which there are myriad ways to generalize a case, and is similar to the rule-induction algorithms of machine learning.